Quantum Research Scientist Specializing in Python for AI Training

Join Mindrift as a Freelance Python Data Scraping Engineer!Are you a talented Python Data Scraping Engineer eager to make an impact? Mindrift is seeking skilled professionals to contribute to the Tendem project by optimizing data scraping workflows within our innovative hybrid AI + human system.As an AI Pilot—our term for this role—you will work alongside Tendem Agents handling repetitive tasks, while you bring your critical thinking skills, domain expertise, and quality control to ensure precise and actionable outcomes.This part-time remote opportunity is perfect for technical experts experienced in web scraping, data extraction, and processing.About MindriftAt Mindrift, we connect specialists with cutting-edge AI projects from leading tech innovators. Our mission is to unlock the potential of Generative AI by leveraging real-world expertise from around the globe.Your RoleAs a Python Data Scraping Engineer, you will manage data scraping tasks that demand technical accuracy for web extraction and processing. Utilize our internal tools like Apify and OpenRouter, as well as your creative problem-solving skills, to achieve efficient results.Key ResponsibilitiesOversee end-to-end data extraction workflows across intricate websites, guaranteeing thorough coverage, accuracy, and dependable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) and custom workflows to expedite data collection, validation, and task execution, ensuring all requirements are met.Adapt strategies to reliably extract data from dynamic and interactive web sources, including handling JavaScript-rendered content and changes in site behavior.Implement data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.Scale scraping operations for large datasets effectively, employing batching or parallelization, while monitoring failures and maintaining stability against minor changes in site structure.CompensationContributors can earn up to $32 per hour, based on their expertise and contribution pace. Note that compensation may differ across projects depending on their complexity and requirements.Getting StartedReady to join us? Apply now to qualify and engage in projects that match your technical skills, on your own schedule. From coding and automation to refining AI outputs, you will play a vital role in advancing AI capabilities and real-world applications.

We kindly request that you submit your CV in English, along with your English proficiency level.At Mindrift, we specialize in connecting talented professionals with project-based AI roles for top-tier tech companies, with a focus on evaluating, testing, and enhancing AI systems. This is a project-based role, not a permanent position.Role OverviewEach project presents its own unique challenges, where contributors may be tasked with:Creating innovative computational physics problems that reflect authentic research workflows;Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that the problems are computationally intensive and cannot be resolved manually within practical timeframes;Designing tasks that require complex reasoning within mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or applicable scenarios from physics;Validating solutions through Python using established physics simulation libraries;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis opportunity is perfect for optical engineers proficient in Python who are interested in part-time, non-permanent projects. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also acceptable;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation techniques;The ability to craft problems that emulate real physics research processes;Creative problem-solving skills across various physics domains;Knowledge of modeling techniques and physics approximations;Strong written English skills (C1+ level).Application ProcessTo apply, please submit your application, pass the necessary qualifications, join a project, complete assigned tasks, and get compensated.Project CommitmentFor this role, the estimated workload during active project phases is approximately 10–20 hours per week, contingent upon project needs. This is an estimate, and not a guaranteed workload during the project's active period.Compensation DetailsContributors can earn up to $76 per hour, depending on their level of expertise and contribution pace. Compensation varies across projects based on their scope, complexity, and required skill set.

We invite you to submit your CV in English, indicating your proficiency level.At Mindrift, we bridge the gap between skilled professionals and innovative AI projects for top-tier technology firms, concentrating on the assessment, testing, and enhancement of AI systems. Note that this is a project-based opportunity rather than a permanent position.Opportunity OverviewEach project will present distinctive challenges, and contributors may:Design original computational engineering tasks that replicate authentic engineering workflows;Create programming challenges that utilize Python for engineering calculations and simulations;Ensure tasks are computationally demanding, requiring numerical methods or iterative solutions;Develop problems related to system design, optimization, and analysis;Base challenges on genuine research issues or practical applications from the engineering domain;Validate solutions using Python with established engineering libraries;Provide clear documentation of problem statements along with verified correct answers.Ideal Candidate ProfileThis position is well-suited for engineers with Python expertise seeking part-time, non-permanent project engagements. Preferred qualifications include:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, contingent upon project demands. This estimate does not guarantee a specific workload and applies only while the project is active.CompensationContributors may earn up to $69 per hour, depending on their skill level and contribution pace. Compensation varies based on project scope, complexity, and required expertise. Other projects on the platform may feature different earning opportunities depending on their specific requirements.

To apply, please submit your CV in English, along with your English proficiency level.Mindrift connects skilled professionals with project-based AI opportunities at leading tech firms, emphasizing the testing, evaluation, and enhancement of AI systems. This role is project-based and does not constitute permanent employment.Role OverviewEach project presents unique challenges, with contributors tasked to:Craft original computational engineering problems that replicate authentic engineering workflows;Design issues requiring Python programming to perform engineering calculations and simulations;Ensure the problems are computationally intensive, utilizing numerical methods or iterative solutions;Develop challenges focused on system design, optimization, and analysis;Base problems on actual research challenges or practical engineering applications;Validate solutions using Python with standard engineering libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis opportunity is ideal for engineers with Python expertise who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and domain-specific libraries is also acceptable;A minimum of 2 years of professional experience in applicable settings such as applied, research, or teaching;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How to Get InvolvedApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject CommitmentDuring active phases, tasks are projected to require approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsParticipants can earn up to $69 per hour, contingent on their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please note that other projects on the platform may offer varying pay scales based on specific requirements.

toloka-ai seeks a freelance AI Trainer who combines expertise in civil engineering with strong Python programming skills. This fully remote contract centers on supporting learners interested in artificial intelligence, with a focus on candidates based in San Antonio, Texas. Role overview This position involves sharing technical knowledge and practical experience to help others build their skills in AI. The work is project-based and offers flexibility in schedule and approach. What you will do Mentor and guide individuals exploring AI, using a background in civil engineering and Python to clarify concepts. Assist others in developing technical skills and understanding foundational topics relevant to artificial intelligence. Location This role is remote, with a preference for those located in San Antonio, Texas, United States.

Please submit your CV in English and indicate your level of English proficiency. Toloka AI, working with Mindrift, offers freelance, project-based assignments focused on advancing AI systems for technology clients. This contract role is temporary and centers on evaluating and improving AI through real-world engineering challenges. The position is remote and based in San Antonio, Texas, United States. Role overview This freelance assignment involves designing and validating material science problems that reflect actual engineering workflows. Assignments require both subject matter expertise and strong Python programming skills to create, test, and document computationally intensive tasks. What you will do Develop material engineering challenges based on authentic research questions or practical scenarios. Create problems that require Python programming for calculations, simulations, and numerical analysis. Ensure tasks involve computational complexity, using numerical methods or iterative solutions where appropriate. Design assignments related to system design, optimization, and analysis. Validate all solutions using Python and standard engineering libraries. Document each problem clearly and provide accurate, verified solutions. Requirements Degree in Material Science or a closely related discipline. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus. Minimum of 2 years of professional experience in applied, research, or teaching roles. Solid understanding of engineering constraints and practical approximations. Excellent written English (C1 level or above). Project workflow Application Qualification Assessment Project Engagement Task Completion Compensation Time commitment During active project phases, expect to dedicate approximately 10–20 hours per week. Actual workload may fluctuate based on project requirements. Compensation Contributors may earn up to $76 per hour, depending on project complexity, contribution level, and pace. Compensation varies by assignment and expertise required. Other projects on the platform may offer different rates.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI assignments for leading technology companies. These projects focus on assessing, evaluating, and improving AI systems. Participation is on a project basis and does not represent permanent employment. What you will do Create original computational mathematics problems that mirror real mathematical research workflows Design problems requiring Python programming to solve, using libraries such as Numpy, SciPy, or Sympy Ensure problems are computationally intensive and cannot be solved manually in a reasonable timeframe Develop problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Base scenarios on real-world research challenges or practical mathematical applications Validate solutions using Python and standard mathematical libraries Document problem statements clearly and provide accurate, verified solutions Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other relevant programming languages is also considered At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems reflecting authentic mathematical research processes Understanding of computational complexity theory Excellent written English skills (C1+ level) How to apply The application process includes: Apply → Pass qualifications → Join a project → Complete tasks → Get compensated. Time commitment Tasks typically require around 10–20 hours per week during active project phases. Actual workload may vary depending on project needs. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Earnings vary by project scope, complexity, and required skills. Other projects on the platform may offer different compensation based on their requirements.

Toloka AI is looking for a Freelance AI Trainer with a strong background in biology and Python. This remote contract role is open to candidates based in San Antonio, Texas, or elsewhere in the United States. Role overview This position centers on training and improving AI models for applications in biology. The work involves applying both subject matter knowledge and Python skills to help shape technology that supports research and education in the life sciences. What you will do Use expertise in biology and Python to guide the development of AI models Contribute to projects that aim to advance tools for biological research and learning Requirements Strong knowledge of biology Proficiency with Python Interest in AI model training and improvement

We invite you to submit your resume in English, clearly indicating your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities for top-tier tech firms, focusing on testing, evaluating, and enhancing AI systems. Note: This role is project-based and does not offer permanent employment.Role Overview:Each project presents unique challenges, including but not limited to:Designing original computational physics problems that reflect genuine research workflows;Formulating problems requiring Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Creating problems that are computationally demanding, ensuring they cannot be solved manually within practical timeframes (days or weeks);Developing intricate problems necessitating advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research dilemmas or applicable real-world physics scenarios;Verifying solutions through Python using standard physics simulation libraries;Writing clear and comprehensive problem statements along with verified correct answers.Candidate Profile:This opportunity is ideal for individuals with a physics background and Python expertise, seeking part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation (knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is also acceptable);A minimum of 2 years of relevant experience, including applied, research, or teaching roles;Familiarity with numerical simulation techniques;Capability to design problems that emulate authentic physics research workflows;Creative problem-solving skills across various physics domains;Solid command of written English (C1+ level).Project Workflow:To participate, follow these steps: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Expected Commitment:For this project, contributors can expect to dedicate approximately 10–20 hours per week during active phases, contingent upon project requirements. Note that this is an estimate and not a guaranteed workload.Compensation:Participants in this project can earn up to $76 per hour, depending on their proficiency and contribution pace. Compensation may vary by project based on its scope, complexity, and the expertise required. Please be aware that other projects on the platform may offer different compensation rates based on their specific needs.

We invite you to submit your CV in English, clearly indicating your level of English proficiency.Mindrift connects skilled professionals with project-based AI opportunities for some of the most innovative tech companies, focusing on the testing, evaluation, and enhancement of AI systems. The roles are project-based, not permanent positions.Opportunity OverviewEach project presents distinct challenges, where contributors may be tasked with:Crafting original computational statistics problems that mirror authentic mathematical research workflows;Designing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring problems are computationally demanding and cannot be manually solved within a reasonable timeframe (days to weeks);Formulating problems that require complex reasoning chains in domains such as number theory, combinatorics, graph theory, and numerical analysis;Grounding problems in real-world research dilemmas or practical applications from the field of mathematics;Validating solutions using Python and standard mathematical libraries;Providing clear documentation of problem statements along with accurate and verified solutions.Desired QualificationsThis position is ideal for statistics specialists with Python experience who are interested in part-time, non-permanent project work. Ideal candidates will possess:A degree in Statistics or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or Stata may be considered equivalent;At least 2 years of professional experience in applied, research, or educational settings;Strong written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are highly regarded.Process OverviewApplication → Qualification Assessment → Project Participation → Task Completion → CompensationProject CommitmentFor this project, contributors can expect to dedicate approximately 10–20 hours per week during active phases, depending on specific project requirements. This is an estimate and not a guaranteed workload, applicable only while the project is ongoing.CompensationContributors have the potential to earn up to $73 per hour, contingent on their level of expertise and speed of contribution. Compensation varies per project based on the scope, complexity, and expertise required. Be aware that other projects on the platform may offer differing compensation levels based on their specific demands.

Mindrift connects chemistry experts with project-based AI work for leading tech companies. Projects focus on testing, evaluating, and improving AI systems. All roles are freelance and do not represent permanent employment. What you will do Create original computational chemistry problems that reflect real-world research workflows. Develop problems requiring Python programming solutions, using libraries such as numpy, scipy, and chemistry-specific packages. Ensure problems are computationally complex and not solvable manually within days or weeks. Design tasks that involve advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling. Base problems on actual research challenges or practical chemistry applications. Validate solutions in Python using established computational chemistry methods. Write clear problem statements and provide verified solutions. Requirements Degree in Chemistry or a related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also considered. At least 2 years of relevant experience in applied work, research, or teaching. Experience with numerical methods in chemistry. Understanding of computational chemistry concepts and techniques. Strong written English skills at C1 level or higher. How it works Submit an application and CV in English, including your English proficiency level. The process follows these steps: Apply Pass qualifications Join a project Complete assigned tasks Receive payment Project details During active project phases, tasks typically require 10-20 hours per week. Actual workload depends on project needs and may vary. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution. Compensation varies by project scope, complexity, and the specialized knowledge required. Different projects may offer different rates based on their requirements.

We invite you to submit your CV in English, including your level of English proficiency.Mindrift links talented specialists with project-based opportunities in AI for top tech companies, focusing on the testing, evaluation, and enhancement of AI systems. This role is project-based and does not entail permanent employment.Overview of the Role:Each project presents unique challenges, and contributors may:Devise original computational physics problems that reflect real physics research workflows;Develop problems that necessitate Python programming solutions (utilizing Numpy, SciPy, Sympy);Create computationally intensive problems that cannot be solved manually in a reasonable timeframe (days/weeks);Formulate problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on authentic research challenges or practical physics applications;Validate solutions using Python along with standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Qualifications:This opportunity is ideal for physicists experienced in Python, who are open to part-time, non-permanent projects. The ideal contributor will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language is equally valuable;A minimum of 2 years of professional experience, applicable in applied research or teaching;Experience with numerical simulation methods;The ability to design problems that accurately reflect real physics research workflows;Creative problem-solving skills across various physics disciplines;Knowledge of physics modeling and approximation techniques;Strong proficiency in written English (C1+).Process Overview:Application → Qualification(s) → Project Involvement → Task Completion → PaymentProject Commitment:During active project phases, tasks are expected to require approximately 10–20 hours per week based on project needs. This is an estimate and does not guarantee a fixed workload.Compensation:Contributors can earn up to $76 per hour, depending on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please note that different projects on the platform may offer varying compensation levels.

Role overview Toloka Annotators seeks a Freelance AI Trainer - Data Annotation Specialist to help strengthen machine learning models. This position is remote and open to candidates in San Antonio, Texas, or anywhere in the United States. The main focus is on annotating and reviewing large datasets to support AI development. What you will do Review and annotate data for AI projects Check labels for accuracy and consistency on each assignment Work as part of a team to uphold high standards for data quality Remote work This role is fully remote. Team members collaborate online and complete tasks from home.

Build something to be proud of.At Captivation, we pride ourselves on delivering precisely what our customers need, exactly when they need it. Our engineering team is dedicated to innovation and excellence in every solution we provide. We are currently seeking talented software developers who are passionate about making a difference while supporting our mission to protect our country. Job OverviewCaptivation Software is on the lookout for a driven and experienced DevOps Engineer to join our dynamic development team. The successful candidate will possess a robust understanding of Linux systems administration and familiarity with Big Data solutions, configuration management, automation, scripting, and AWS. As a DevOps Engineer, you will be instrumental in implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services. This position is primarily based on-site at our client location in San Antonio, TX, five days a week.If you are passionate about DevOps and eager to work with an innovative team, we invite you to apply for this exciting opportunity.

Position Summary: The Data Integration Engineer will take the lead in designing, constructing, and maintaining robust data pipelines and warehouse models that drive insightful analytics and operational reporting. You will seamlessly integrate various data sources—including databases, APIs, SaaS applications, and flat files—and develop efficient ELT/ETL processes in a cloud environment. Collaboration with analytics teams, application developers, and business stakeholders will be key as you transform requirements into reliable, production-ready datasets. Duties/Responsibilities: Data Pipeline Development Create and implement scalable ETL/ELT pipelines (both batch and near-real-time) to source data from databases, APIs, SaaS, and flat files into platforms like Snowflake and Azure Synapse. Utilize integration tools such as Azure Data Factory (ADF), Fivetran, CData Sync, and Boomi, enhancing capabilities with custom code as necessary. Produce clean, maintainable code primarily in SQL, with Python or PHP utilized as needed for custom connectors, transformations, or microservices. Enhance workflows for optimal performance, reliability, and scalability through effective partitioning, parallel processing, incremental loads, CDC, idempotency, and robust retry/rollback strategies. Oversee data warehouse platforms, including Azure Synapse and Snowflake, ensuring their smooth operation. Identify and resolve data pipeline failures and errors promptly. Data Warehouse Management Develop and sustain data models, schemas, views, and stored procedures; proficiently manage staging, core, and mart layers along with source-to-target mappings. Enforce data quality validation and monitoring practices (e.g., null/duplicate/range checks, schema drift detection, reconciliation). Address and troubleshoot identified errors with efficiency. Adopt and apply best practices in data warehousing (e.g., clustering, partitioning, cost governance, role-based access, tagging/lineage). SQL & Python Support Execute complex SQL queries, refactor existing queries (using window functions, CTE chains), and optimize performance through explain plans, pruning, and join strategies. Create and troubleshoot Python notebooks, ensuring seamless integration into pipelines, including aspects like packaging, scheduling, and secret management. Collaboration & Documentation Work closely with data analysts and stakeholders to clarify requirements and acceptance criteria, translating them into detailed technical designs. Maintain technical specifications, data flow diagrams, and operational procedures; contribute to documentation standards and reusable patterns.

Please submit your CV in English and include your English proficiency level. Toloka AI, working through the Mindrift platform, brings together skilled professionals for project-based roles supporting technology companies. Mindrift’s projects focus on testing, evaluating, and improving AI systems, giving contributors a chance to work on practical AI challenges. Role overview This Senior Python Developer - Code Migration Specialist position centers on migrating and testing large, multi-language codebases. The role calls for strong Python development skills, deep experience with Linux and Docker, and the ability to interpret code in C, Rust, and Go. Familiarity with LLM tools such as Roo Code or Claude Code is important for streamlining migration and development tasks. What you will do Create functional black box tests for complex codebases in multiple languages. Design and maintain Docker environments to ensure reproducible builds and tests across platforms. Track code coverage and set up automated scoring to meet industry standards. Apply LLMs (like Roo Code and Claude) to automate repetitive work, speed up development, and improve code quality. Requirements 5+ years as a Software Engineer, with a primary focus on Python. Advanced knowledge of pytest, including fixtures, session-scoped tests, and timeouts, plus experience designing black-box functional tests for CLI tools. Expertise in Docker, including reproducible Dockerfiles, user contexts, and secure workspace setup. Strong Linux and Bash scripting skills, with the ability to debug inside containers. Familiarity with modern Python tooling (uv, pyproject.toml, packaging). Ability to read and understand code in C, C++, Rust, and Go, with LLM support. Hands-on experience using LLMs (Claude Code, Roo Code, Cursor) to improve development cycles and create test cases. English proficiency at B2 level or above. Preferred Background in agent evaluation platforms or experience with MCP CLI. Tools and technologies Key tools include Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, and Dagger. The role involves reading code in C, C++, Rust, and Go, and working with LLMs such as Claude Code, Roo Code, and Cursor. Additional tools: GitHub Codespaces, coverage.py, gcov, and kcov. Compensation and benefits Freelance, project-based work through Mindrift (powered by Toloka AI). Fully remote with a flexible schedule; set your own contributions (20-30 hours per week). Compensation varies by project. For this project, AI trainers can earn up to $80 per hour. Location: Remote , San Antonio, Texas, United States

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for top technology companies. The focus is on testing, evaluating, and improving AI systems. This is a contract position tied to specific projects, not a permanent full-time role. Role overview This Senior Python Systems Developer position centers on functional testing for large and complex codebases. The work involves designing and running black-box tests, setting up reproducible environments with Docker, and using large language models (LLMs) to enhance and automate development tasks. The ideal candidate is comfortable with Linux, Docker, and can interpret code in languages like C, Rust, or Go. Familiarity with iterative development tools such as Roo Code or Claude Code is valued, as is experience with migration tasks. What you will do Design and implement functional black-box tests for large codebases in various languages. Set up and maintain Docker environments to support reproducible builds and test runs across platforms. Track code coverage and configure automated scoring to match industry standards. Leverage LLMs (including Roo Code and Claude) to automate repetitive steps and improve code quality. Requirements Minimum 5 years as a Software Engineer, primarily working with Python. Strong hands-on experience with pytest (including fixtures, session-scoped tests, and timeouts) and black-box testing for CLI tools. Expert-level knowledge of Docker, including writing reproducible Dockerfiles, managing user contexts, and workspace security. Advanced Linux and Bash scripting skills, with the ability to debug inside containers. Familiarity with modern Python tooling such as uv, pyproject.toml, and packaging. Ability to read and interpret code in C, C++, Rust, or Go, with LLM assistance. Experience using LLMs (Claude Code, Roo Code, Cursor) for iterative development and generating tests. English proficiency at B2 level or higher. Preferred Background with agent evaluation platforms and MCP CLI. Tools and technologies Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (for code reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. Benefits and compensation Freelance, project-based work through the Mindrift platform (powered by Toloka AI). Fully remote and flexible: set your own schedule and contribution level (20-30 hours per week). Project-based pay. AI trainers on this project can earn up to $80 per hour. Location: Remote , San Antonio, Texas, United States

At Accenture Federal Services, our mission is to empower the U.S. federal government in creating a stronger, safer nation while enhancing the lives of its citizens. Our dedicated team of over 13,000 professionals is driven by a shared purpose to harness the infinite possibilities of technology and creativity for clients in defense, national security, public safety, civilian, and military health sectors. Become a part of Accenture Federal Services, a leading technology provider within the global Accenture family. Proudly recognized as one of Glassdoor's Top 100 Best Places to Work, we foster a collaborative and supportive environment where you are encouraged to belong, grow, and excel through hands-on experiences, certifications, and comprehensive training. Join us in making a meaningful impact that advances government missions and initiatives! The Role: Key Responsibilities:Lead the development of automated, real-time, self-healing data pipelines across various platforms while overseeing metadata repositories.Implement systems for automated error detection and alerting to maintain data accuracy and integrity.Assist client and delivery teams in integrating AI and other automation strategies.Oversee monitoring and maintenance of data pipelines, swiftly addressing data discrepancies.Manage a small team (2–3 members), including both local and remote personnel.Collaborate closely with clients to automate enterprise data pipelines and uphold data quality.Engage in client-facing roles, guiding technical discussions and ensuring timely delivery.Qualifications: U.S. Citizenship is required (no dual citizenship allowed).Must possess DoD Interim Secret clearance.Proficient in AWS, Palantir Foundry, and Databricks data engineering capabilities, particularly regarding system interfaces.Hands-on experience in building and maintaining automated data pipelines and monitoring systems.Experience in supervising or leading technical team members.Ability to thrive in a client-facing environment.Must be able to commute to San Antonio or reside within commuting distance.Preferred Qualifications: Active DoD Secret clearance Familiarity with GovCloud.Knowledge of DoD cyber requirements...

Please submit your resume in English and specify your proficiency level. Toloka brings together detail-oriented freelancers worldwide to contribute to projects that help train and improve artificial intelligence systems. The platform connects people with tasks in Generative AI for leading technology companies, relying on human input to advance AI’s accuracy and reliability. Role overview This freelance, remote position focuses on supporting AI development through human feedback. As an English Annotator - AI Trainer, tasks may include evaluating AI-generated content, checking facts, or comparing different responses. Project assignments depend on availability and Toloka’s current needs. Main responsibilities Review data sets, which may include text, images, or videos Label or categorize content following specific project instructions Identify and report content that is factually incorrect, sensitive, inappropriate, or unclear Project availability and compensation Assignments are project-based and depend on eligibility and current opportunities. Each project offers its own pay structure. For this project, AI Trainers can earn up to $23 per hour. Location This role is remote and open to candidates in San Antonio, Texas, United States.