Product Engineer at Relevance AI | Sydney, Australia

Location 📍: Sydney, Australia (Hybrid - 3 days in office per week)About Us 🚀At Relevance AI, we’re crafting the future of the AI workforce. Our mission is straightforward yet powerful: empower teams to delegate impactful work to AI agents that think, act, and collaborate like experts.With our innovative platform, anyone can create and manage intelligent ag…

Please submit your CV in English and indicate your level of English proficiency. Toloka AI, through Mindrift, is looking for freelance Research Physicists and AI Trainers for remote, project-based assignments in Queensland, Australia. Contributors support top technology companies by testing, evaluating, and improving AI systems. This arrangement is not permanent employment; participation is linked to specific projects as they arise. Role overview This contract role centers on developing original optics problems that reflect real-world physics research. Assignments often involve designing scenarios that require significant computational resources, making manual solutions impractical. Work spans advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics, with each challenge based on authentic research issues or practical applications. Clear documentation and accurate solutions are expected for every problem created. Responsibilities Create original optics problems modeled after actual research workflows Design challenges requiring extensive computation, beyond manual solving Develop scenarios in mechanics, electromagnetism, thermodynamics, and quantum mechanics Ground problems in real research or practical physics applications Document problems and provide thoroughly verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field At least 2 years of experience in applied physics, research, or teaching Familiarity with numerical simulation techniques Ability to design problems that reflect real research processes Creative problem-solving skills across various physics domains Experience with physics modeling and approximation Strong written English skills at C1 level or higher Project details During active project periods, tasks generally require 10–20 hours per week. Actual workload depends on project needs and is not guaranteed. Commitment is expected only while assigned to a current project. Compensation Contributors may earn up to $35 per hour, with rates varying by project based on scope, complexity, and required expertise. Other projects on the platform may offer different compensation depending on their requirements. Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation

Location: Sydney, Australia (Hybrid: 3 days per week in office) Relevance AI develops a platform for building and managing intelligent agents that help teams automate workflows and improve collaboration. The company’s technology supports major clients such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them strengthen operations, marketing, and sales. Backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, Relevance AI completed its Series B funding round in April 2025. With headquarters in San Francisco and Sydney, the team values curiosity, collaboration, and decisive execution. In 2025, LinkedIn recognized Relevance AI as Australia’s #1 Startup. Role overview The Enterprise team at Relevance AI seeks a Staff Software Engineer based in Sydney. This group focuses on building and scaling platform features for the company’s largest and most demanding customers. Projects emphasize security, reliability, compliance, and adaptability at enterprise scale, with particular attention to identity and access management, auditability, and regulatory requirements. What you will do Offer technical leadership and hands-on execution within the Enterprise team Work closely with product, engineering, and go-to-market teams to deliver enterprise-grade capabilities and backend systems Design complex systems and influence architecture across teams Ensure the platform upholds high standards for security, reliability, and compliance See the direct impact of your work on customer outcomes Impact and growth Each engineering team at Relevance AI addresses a distinct aspect of the AI workforce. The Enterprise team specializes in scaling AI systems for global organizations. This role plays a key part in making AI solutions functional, dependable, and production-ready for enterprise use.

Location: Sydney, Australia (Hybrid schedule: 3 days per week in the office) Relevance AI develops technology that empowers teams to assign complex and high-impact tasks to AI agents with expert-level capabilities. The platform enables users to create and manage intelligent agents, streamlining workflows, supporting decision-making, and improving collaboration within a single system. Clients include organizations such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard. These partnerships span a variety of industries, helping teams optimize their operations. Backed by investors like Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, Relevance AI completed Series B funding in April 2025. With offices in San Francisco and Sydney, the company values curiosity, collaboration, and practical execution. In 2025, LinkedIn recognized Relevance AI as Australia’s #1 Startup. Role overview The Builders team seeks a Senior Back-End Software Engineer based in Sydney. This group advances the builder experience, agent builder, tool builder, and workforce builder features, making the platform more effective for a broad customer base. Engineering teams work on different aspects of the AI workforce, from supporting individual creators to scaling systems for enterprise use worldwide. The focus of this role is to build systems that ensure AI is reliable, effective, and ready for production. What you will do Enhance and maintain the builder experience on the Relevance AI platform Collaborate with engineers to deliver features to users quickly Lead key technical initiatives and mentor team members Reduce unnecessary processes and help drive efficient delivery Contribute to a modern, evolving technology stack centered on speed and efficiency Our culture Relevance AI values rapid innovation, open collaboration, and shared achievement. Engineers have the autonomy to lead, experiment, and see the direct results of their work. The environment encourages curiosity and a commitment to excellence.

About EucalyptusAt Eucalyptus, we are driven by a passionate mission to ensure that good health lasts a lifetime. With over 1 billion individuals grappling with obesity worldwide, which often leads to preventable chronic diseases, we are dedicated to revolutionizing long-term healthcare.Eucalyptus is the innovative force behind Juniper, one of the globe's largest weight management programs. Our unique approach combines GLP-1 medication with personalized nutrition, movement support, and clinician-led care involving prescribers, nurses, health coaches, pharmacists, and dietitians. Our clinical research demonstrates that our integrated clinical and behavioral strategies help patients achieve four times more weight loss during their treatment with Juniper.Our Growth Story:Achieved 130% year-over-year revenue growth and reduced cash burn by 90%, raising over $100 million from esteemed investors, including BOND, NewView, Blackbird, and Airtree.Provided support to over 350,000 patients living with obesity across five markets.Received selective NICE endorsement to deliver services to the NHS.Customized our offerings for thousands of patients in Germany and Japan. About the Role (Your Responsibilities)We are seeking a talented Senior Software Engineer I, Full Stack (AI Focus) to join our dynamic engineering team. As part of a highly collaborative group of 40 engineers, you will contribute to creating top-tier healthcare technology that our patients globally cherish, now with AI as a foundational element of our platform.Serve as a pivotal engineering voice in the design and development of scalable, production-grade AI-enhanced features across our multi-brand platform, ranging from patient-facing conversational tools to intelligent decision-support systems.Integrate with essential LLM APIs (Gemini, OpenAI, etc.) and design scalable architectures for generative use cases, including retrieval-augmented generation (RAG) and multi-agent systems.Collaborate closely with cross-functional teams in product, design, marketing, creative, analytics, and operations to deliver superior AI-enabled telehealth solutions.

Location: Sydney, Australia (hybrid, three days per week in the office) Relevance AI develops tools for teams to delegate meaningful work to AI agents that think, act, and collaborate like seasoned professionals. The platform allows organizations to create and manage intelligent agents for workflow automation, decision-making, and collaboration. Clients include Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, who use these solutions to improve operations, marketing, and sales. The company is backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital. In April 2025, Relevance AI completed its Series B funding round to accelerate growth and expand agentic automation. With headquarters in San Francisco and Sydney, the team works in a hybrid model that emphasizes curiosity, teamwork, and strong execution. LinkedIn named Relevance AI Australia’s #1 Startup in 2025. Role overview The Senior Software Engineer (Chat) will join the Chat team in Sydney. This group builds the conversational interface for Relevance AI’s platform, enabling users to interact with pre-built AI agents, productivity tools, and research workflows. The Chat product relies on a scalable back-end to support real-time, agent-driven conversations. Engineering teams at Relevance AI address a range of challenges, from supporting individual creators to building systems for enterprise clients. This role helps shape systems that make AI accessible, reliable, and production-ready. What you will do Develop and enhance the back-end for Chat, enabling real-time, agentic interactions Work with a modern technology stack, refined for speed and rapid iteration Lead major projects and provide mentorship to teammates See your contributions reach customers quickly, often within hours Work in an environment that values independence and minimizes unnecessary process Work environment Relevance AI provides a supportive, fast-moving setting focused on innovation and collective achievement. Engineers are encouraged to take initiative and can see the direct results of their work.

toloka-ai seeks a Freelance Machine Learning Engineer to join ongoing artificial intelligence and machine learning projects. This contract role is remote and open to candidates based in Queensland, Australia. Key responsibilities Contribute to machine learning and AI initiatives alongside a distributed team Use technical expertise to address practical challenges Work closely with colleagues to develop and deliver technology solutions Location details This freelance position is fully remote for those residing in Queensland, Australia.

We invite you to submit your CV in English, specifying your proficiency level in the language.Mindrift is dedicated to bridging specialists with project-oriented AI opportunities across top-tier technology companies, concentrating on the testing, evaluation, and enhancement of AI systems. This engagement is based on project work rather than permanent employment.Opportunity OverviewWhile each project presents distinct challenges, contributors can expect to:Craft innovative computational statistics problems that reflect genuine mathematical research workflows;Develop tasks that necessitate Python programming solutions utilizing libraries such as Numpy, SciPy, and Sympy;Ensure the complexity of problems requires substantial computational resources, making manual solutions impractical within typical timeframes;Formulate problems that involve intricate reasoning across domains such as number theory, combinatorics, graph theory, and numerical analysis;Base challenges on real-world research problems or applicable mathematical scenarios;Validate solutions through Python, employing standard mathematical libraries;Clearly articulate problem statements and deliver validated correct answers.Qualifications We SeekThis role is ideal for statistics professionals experienced in Python, who are open to non-permanent, part-time projects. Candidates should ideally possess:A degree in Statistics or related disciplines;Proficiency in Python for numerical validation, with equivalent experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages being acceptable;A minimum of 2 years of relevant professional experience, whether in applied roles, research, or teaching;Strong command of written English (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects will be considered advantageous.How the Process Works1. Apply → 2. Pass qualifications → 3. Join a project → 4. Complete tasks → 5. Receive paymentProject Time CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $38 per hour, based on their contribution level and speed. Compensation may vary across projects according to their scope, complexity, and expertise required. Note that other projects may offer different compensation rates based on their specific requirements.

Role Overview Shield AI is hiring a Staff Engineer in Manufacturing for the Melbourne office. This role focuses on integrating advanced technology into manufacturing processes to improve efficiency and quality. The position calls for an engineer who brings fresh ideas and a commitment to high standards. What You Will Do Work with teams across disciplines to design and implement manufacturing systems Optimize existing processes for better performance and reliability Contribute directly to the development of Shield AI’s products and services Who We’re Looking For Experience in manufacturing engineering Interest in applying advanced engineering solutions to real-world challenges Ability to collaborate with cross-functional teams This role offers the chance to influence how technology shapes manufacturing at Shield AI, with a focus on quality and performance.

Role overview quantium is looking for a Senior Software Engineer (AI) to join its Sydney team. This role centers on building AI solutions that strengthen data analysis and help support client needs. Collaboration is key: expect to work closely with both engineers and data scientists to create algorithms and models that address practical challenges. What you will do Develop AI-driven software and tools that support advanced data analysis Partner with engineers and data scientists to design and implement algorithms and models Contribute to projects aimed at increasing innovation and efficiency throughout the company Location This position is based in Sydney.

We invite you to submit your CV in English, highlighting your proficiency in the language.At Mindrift, we bridge the gap between talented specialists and exciting project-based AI opportunities with top tech firms, concentrating on the assessment, validation, and enhancement of artificial intelligence systems. Note that participation is project-based rather than a permanent role.Role OverviewEach project entails distinct responsibilities, where contributors may:Devise comprehensive Computer Science challenges that mirror real-world applications;Assess AI solutions for accuracy, underlying assumptions, and limitations;Utilize Python (NumPy, Pandas, SciPy) to verify calculations or simulations;Enhance AI logic to conform with industry best practices;Implement structured scoring criteria across complex tasks;Collaborate with a global network of PhDs to uphold the utmost scientific rigor.Candidate ProfileThis role suits Computer Science professionals with Python expertise who are interested in part-time, non-permanent projects. The ideal candidates will possess:A degree in Computer Science or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, specific domain libraries, or any programming language will be considered equivalent;A minimum of 2 years of professional experience in applied work, research, or teaching;Advanced written English skills (C1+).Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.Application ProcessSubmit your application → Complete qualifications → Join a project → Execute tasks → Receive compensation.Project CommitmentFor this role, active phases typically require 10–20 hours per week, depending on project demands. This is an estimate and does not guarantee specific hours.Compensation DetailsContributors can earn up to $45 per hour, contingent upon their contribution level and efficiency. Compensation varies per project based on its scope, complexity, and required expertise. Note that other projects on the platform may offer different pay scales.

Who is Quantium?Quantium stands at the forefront of data science and artificial intelligence, having established its roots in Australia in 2002. As a global powerhouse with over 1,200 professionals across 14 locations, Quantium expertly combines product and consulting services to empower businesses in maximizing value from their data and analytics. Our partnerships with some of the world's largest corporations drive the creation of a smarter, more insightful world.The Executive Manager of AI Engineering & Consulting is a strategic leadership role focused on expanding Quantium's capabilities in delivering AI transformations for Australia’s largest enterprises. You will oversee a dynamic global AI engineering team, guiding major organizations in modernizing their engineering processes to adopt an AI-first approach.This position is crucial as we respond to the growing demand from enterprise clients eager to integrate AI into their engineering frameworks, products, and operational strategies. As we execute large-scale AI initiatives for leading companies, your role will be pivotal in establishing a repeatable and scalable capability.Positioned at the nexus of engineering leadership, enterprise consulting, and AI implementation, you will direct multiple engineering squads while shaping the methodologies, practices, and playbooks that define Quantium’s AI consulting excellence.This prominent role will significantly influence how our teams execute AI projects and how enterprise clients evolve their engineering organizations. Success hinges on your ability to blend strong engineering leadership with a credible presence in complex enterprise environments, transforming ambitious AI strategies into actionable, scalable solutions.

About Fluent Software GroupFluent Software Group is a proud member of Valsoft Corporation's family of operating groups, recognized as a global leader in acquiring and nurturing vertical market software companies. We specialize in industries where deep expertise truly makes an impact.At Fluent, we collaborate closely with founders to scale their businesses effectively. Our approach combines hands-on operators, proven playbooks, and ample resources to catalyze growth, ensuring your business doesn't just survive but thrives.We are an innovative investment group utilizing AI and an agentic mindset to unlock unprecedented growth across our portfolio. By integrating intelligent automation and cutting-edge technology into our operations, we empower our partners to move swiftly, adapt intelligently, and prepare for future challenges.About the OpportunityJoin us in revolutionizing AI-powered customer service, with our flagship deployment positioned with one of the largest enterprises in the building materials sector. This unique and high-impact role blends enterprise consulting with hands-on AI product development.As an AI Solutions Engineer, you will oversee the entire client engagement lifecycle for our AI voice agent rollout in Sydney. This ranges from establishing trust with executives in the boardroom to configuring conversation flows in a technical setting. You will be the face of our product and the driving force behind its success.This role transcends traditional consulting or engineering positions; it requires a hybrid builder-consultant who can bridge the gap between business challenges and technical solutions, and actively contribute to building those solutions.What You'll DoClient OwnershipAct as the primary liaison for stakeholders across Customer Service, Operations, IT, and Digital sectors.Foster trusted relationships with senior leaders and operational staff alike.Communicate effectively with both executives and frontline managers, tailoring your message appropriately for each audience.Serve as the vital link between client requirements and our core engineering team.Technical DeliveryMap comprehensive customer service workflows and pinpoint the highest-value automation opportunities.Design and configure conversational AI flows for voice interactions.Integrate the AI voice agent with the client's existing systems (CRM, ERP, order management).Prototype, test, and iterate swiftly using real-world call data.Define and track key performance metrics to ensure project success.

About QuantiumQuantium is a global leader in data science and artificial intelligence, founded in Australia in 2002. With a dedicated team of over 1,200 professionals across 14 locations, we provide a unique blend of product and consulting services that enable businesses to maximize value from data and analytics. We partner with some of the world's largest corporations to create a smarter, more intelligent future.The Senior Engineering Manager - AI Consulting is a pivotal leadership role focused on enhancing Quantium's AI transformation capabilities for Australia's major enterprises. In this position, you will direct a rapidly growing global AI engineering team, facilitating the modernization of engineering practices to become AI-first.As demand for AI integration within enterprise environments escalates, you will play a crucial role in establishing scalable methodologies, guiding complex client engagements, and fostering a culture of innovative engineering solutions.Your leadership will not only shape Quantium's AI delivery but also influence how enterprise clients reimagine their engineering organizations. Success in this role hinges on your capacity to blend strong technical leadership with the ability to navigate complex enterprise settings, effectively translating ambitious AI strategies into actionable, scalable solutions.

Join Our Team as an AI Software EngineerAt Maincode, we are pioneering the development of Matilda, Australia’s first large language model built and trained from the ground up. With our new compute cluster operational, we are excited to scale the next iteration of this innovative project.In this role, you will be an integral part of the training infrastructure. Your responsibilities will include constructing the pipelines and tools that enhance the efficiency of Matilda’s training, ensure stability during prolonged runs, and expedite the execution of new experiments. Given that training durations can extend from days to weeks, your work will require meticulous attention to detail.At Maincode, we believe in building AI systems from the ground up: from designing architectures to managing the infrastructure, shaping the training process, and operating the models ourselves. Matilda is not just a research prototype; it’s a fully operational system, developed at scale for open public use.We proudly operate one of Australia’s largest private AI compute environments, dedicated exclusively to training our models. This position does not involve wrapping external APIs or shipping user-facing features; instead, you will focus on the underlying systems that drive the training of a large language model from scratch.

Established in 2015, Shield AI is a pioneering venture-backed deep-tech company dedicated to safeguarding both service members and civilians through cutting-edge intelligent systems. Our innovative products, including the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines, play a crucial role in enhancing operational safety and efficiency globally. With a presence across the U.S., Europe, the Middle East, and the Asia-Pacific, our technology actively supports operations in diverse environments. For further details, please visit www.shield.ai. Connect with us on LinkedIn, X, Instagram, and YouTube. Job Overview:Join our dynamic Australian Engineering Team as a Staff Systems Engineer, where you will play a pivotal role in designing integrated solutions utilizing the Hivemind Vision and Mission Autonomy technology stacks.Your Responsibilities Include:- Collaborating with programmatic leadership to assess System Engineering effort requirements.- Working alongside System Design Teams (including Human Factors, UX, and Architecture) to translate solution designs into actionable specifications.- Partnering with System Development & Test teams (Development, Integration, Testing) to establish robust system architectures.

Please submit your CV in English and indicate your level of English proficiency. Mindrift partners with skilled professionals for project-based AI work serving leading technology companies. This freelance contract centers on evaluating and improving AI systems within engineering environments. The position is contract-only and does not transition to permanent employment. Role overview This freelance Material Scientist with Python expertise will design original materials that reflect real-world engineering processes and challenges. Assignments focus on engineering scenarios, research questions, and practical problem-solving using computational tools. What you will do Create problems that require Python programming for engineering calculations or simulations. Develop computationally intensive challenges using numerical methods or iterative solutions. Formulate tasks involving system design, optimization, and analysis. Ensure assignments are grounded in genuine research or practical engineering situations. Validate solutions using Python and standard engineering libraries. Write clear, precise problem statements and provide accurate, verified solutions. Requirements Background as a material scientist or engineer with strong Python skills. Degree in Material Science or a related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued. Minimum of 2 years of professional experience in industry, research, or teaching. Solid understanding of practical engineering constraints and approximations. Excellent written English at C1 level or above. How to join Apply Meet the qualifications Join a project Complete assigned tasks Receive compensation Project commitment During active project phases, expect to spend 10-20 hours per week on assigned tasks. Workload may vary and is not guaranteed outside of active project periods. Compensation Earn up to $35 per hour, depending on contribution and pace. Actual rates may differ by project, based on complexity, scope, and expertise required. Other projects on the platform may offer different compensation structures.

We invite you to submit your CV in English and specify your level of English proficiency.At Mindrift, we specialize in connecting skilled professionals with project-based AI opportunities from top technology companies, emphasizing the testing, evaluation, and enhancement of AI systems. This role involves project-specific engagement, rather than permanent employment.Role Overview:Each project presents distinct tasks, where contributors may be responsible for:Crafting original computational data science challenges that replicate real-world analytical workflows across various sectors such as telecom, finance, government, e-commerce, and healthcare.Formulating problems that necessitate Python coding to resolve, utilizing libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensuring that these problems are computationally demanding, requiring extensive processing time that cannot be resolved manually within practical timeframes.Developing scenarios that involve complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Designing deterministic problems with reproducible solutions, avoiding stochastic components or ensuring fixed random seeds for exact replication.Creating challenges based on genuine business problems, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and enhancing operational efficiency.Structuring end-to-end problems that cover the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Integrating big data processing situations that demand scalable computational methods.Validating solutions using Python alongside standard data science libraries and statistical techniques.Clearly documenting problem statements with realistic business contexts and providing verified correct answers.Who We Are Looking For:This opportunity aligns well with Data Science experts experienced in Python who are available for part-time, non-permanent projects. Ideally, candidates will possess:A minimum of 5 years of hands-on experience in data science with demonstrated business impact.A portfolio of completed projects and publications that highlight real-world problem-solving capabilities.Proficient Python programming skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels).A deep understanding of statistical analysis and machine learning, including algorithms, methodologies, and practical applications.Expertise in SQL and database management for data manipulation and analysis.Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).Familiarity with MLOps practices and model deployment workflows.Knowledge of contemporary frameworks (TensorFlow, PyTorch, LangChain).Strong written English skills (C1 or higher).Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Get paid

Please submit your CV in English and indicate your level of English proficiency. Mindrift offers project-based, remote roles for professionals skilled in chemistry and Python. These freelance positions focus on supporting AI development for leading technology companies. Participation is not permanent employment, and work is assigned on a project basis. What you will do Design computational chemistry problems that reflect real-world research workflows. Create Python-based challenges requiring programming solutions, often using numpy, scipy, and chemistry-specific libraries. Ensure problems are complex enough to require computational methods, not manual solutions. Develop tasks involving advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling. Base assignments on authentic research scenarios or practical chemistry applications. Validate solutions using Python and established computational chemistry techniques. Document each problem clearly and provide verified answers. Requirements Degree in Chemistry or a closely related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or relevant chemistry libraries is also acceptable. At least 2 years of professional experience in applied research, teaching, or a related area. Background in numerical methods within chemistry. Knowledge of computational chemistry concepts and techniques. Strong written English skills (C1 level or higher). How projects work The process includes application, qualification, joining a project, completing assigned tasks, and receiving payment. During active project phases, tasks typically require 10–20 hours per week, though actual workload may vary. Compensation Contributors can earn up to $35 per hour, depending on expertise and pace. Compensation may differ by project based on scope, complexity, and required skills. Other projects may offer different pay structures.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities for top-tier tech companies, with an emphasis on testing, evaluating, and enhancing AI systems. Please note that this is a project-based role and not a permanent position.Opportunity Overview:Each project comes with distinct tasks, where contributors may be engaged in:Crafting innovative computational physics problems that replicate genuine physics research workflows;Formulating problems that necessitate Python programming for resolution (utilizing libraries like Numpy, SciPy, and Sympy);Ensuring problems are computationally demanding and cannot be resolved manually within practical timeframes;Developing challenges that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in authentic research difficulties or practical applications in the field of physics;Validating solutions through Python using standard physics simulation libraries;Clearly documenting problem statements and providing verified solutions.Ideal Candidate Profile:This role is suited for optical engineers with Python experience who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, Computational) or a relevant discipline;Proficiency in Python for numerical validation. Equivalent experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is acceptable;At least 2 years of professional experience, which can include applied, research, or teaching roles;Familiarity with numerical simulation techniques;Capability to design problems reflective of real physics research workflows;Creative problem-solving abilities across various physics domains;Understanding of physics modeling and approximation methods;Strong written English skills (C1 level or higher).Application Process:Apply → Pass qualification(s) → Join a project → Complete tasks → Receive payment.Project Engagement Expectations:For this project, tasks are estimated to require approximately 10–20 hours per week during active phases, based on specific project needs. This is an estimate and does not guarantee workload.Compensation Details:Contributors can earn up to $45 per hour, depending on their contribution level and pace. Compensation may vary across projects based on scope, complexity, and required expertise, with other projects potentially offering different earnings.