Biology and Python Specialist - Freelance AI Trainer
Toloka AIRemote — San Antonio, Texas, United StatesNew
Remote Contract
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Experience Level
Entry Level
Qualifications
Strong background in Biology and proficiency in Python programming. Experience with AI training and model development. Excellent communication skills and the ability to explain complex concepts in simple terms. Self-motivated and able to work independently in a remote environment.
About the job
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
About Toloka AI
Toloka AI is at the forefront of artificial intelligence technology, dedicated to creating innovative solutions that empower researchers and educators. Our mission is to harness the power of AI to enhance understanding and application in various fields, particularly biology.
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Please submit your resume in English and specify your English proficiency level. Mindrift offers project-based assignments for professionals in technology fields, focusing on testing and improving AI systems. This freelance role is not a permanent position and is open to candidates based in Wisconsin, United States. All work is remote. Role overview This freelance AI Trainer position blends electrical engineering knowledge with Python programming. The role centers on designing and verifying engineering problems that challenge AI systems, using real-world scenarios and computational methods. Main responsibilities Design computational engineering problems that mirror real engineering workflows Create tasks requiring Python programming for calculations and simulations Ensure problems involve numerical methods or iterative solutions and are computationally intensive Develop challenges in system design, optimization, and analysis Base problems on research topics or practical engineering applications Verify solutions using Python and standard engineering libraries Document problem statements clearly and provide accurate, verified answers Requirements Degree in Electrical Engineering or a related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also acceptable Minimum of 2 years of professional experience (applied, research, or teaching) Understanding of practical engineering constraints and approximations Strong written English skills at C1 level or above Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are considered a plus How to apply Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment Project phases usually require about 10-20 hours per week. Actual workload may shift depending on project needs. Compensation Contributors can earn up to $69 per hour, depending on experience and contribution speed. Rates may vary by project based on complexity, scope, and required expertise. Other projects on Mindrift may offer different compensation levels.
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Please submit your CV in English and indicate your English proficiency level. Mindrift connects subject matter experts with project-based AI work for major technology companies. Projects center on assessing, evaluating, and improving AI systems. This is a project-based, non-permanent role. Role overview This freelance contract focuses on designing and verifying computational physics problems for AI training. The work is remote and open to candidates based in Wisconsin, United States. What you will do Create original computational physics problems that reflect real research workflows. Develop challenges that require Python programming to solve, often using libraries such as Numpy, SciPy, and Sympy. Ensure each problem requires significant computation and cannot be solved by hand within a reasonable time. Design scenarios involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base challenges on authentic research questions or practical situations in physics. Verify solutions using Python and standard physics simulation tools. Document problems clearly and provide thoroughly checked solutions. Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related field. Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus. At least 2 years of relevant experience in research, application, or teaching. Background in numerical simulation methods. Ability to design problems reflecting real research workflows in physics. Creative thinking across multiple areas of physics. Solid understanding of modeling and approximation techniques in physics. Excellent written English (C1 level or higher). How the process works Apply Complete required qualifications Join a project Finish assigned tasks Receive payment Project time commitment Active projects typically require about 10–20 hours per week. Actual workload depends on project needs and may vary. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Actual rates and workload vary based on project scope, complexity, and required skills.
Part-time|$76/hr - $76/hr|Remote|Remote — New York, United States
Mindrift connects experienced professionals with project-based roles in artificial intelligence, focusing on testing and improving AI systems for leading technology companies. This is a freelance, non-permanent position based remotely in New York, United States. Role overview As an Expert in Chemistry & Python, freelance AI trainers at Mindrift design and validate computational chemistry challenges. These projects require contributors to: Create advanced computational chemistry problems that reflect real research workflows Develop scenarios requiring Python programming to solve, using libraries such as numpy, scipy, and chemistry-specific packages Ensure that problems are computationally intensive and not feasible to solve manually within days or weeks Incorporate complex reasoning in areas like physical chemistry, quantum chemistry, and molecular modeling Base tasks on real-world research challenges or practical applications in chemistry Validate solutions with Python, following standard computational chemistry methods Document challenges clearly and provide accurate, verified answers Requirements Degree in Chemistry or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also valued At least 2 years of professional experience in applied chemistry, research, or teaching Understanding of numerical methods in chemistry Familiarity with computational chemistry concepts and methodologies Strong written English skills (C1 level or above) Process The typical process includes: apply, meet qualifications, join a project, complete assigned tasks, and receive payment. Time commitment Project work generally requires about 10–20 hours per week during active phases. Actual hours may vary depending on project needs and are not guaranteed. Compensation Earnings can reach up to $76 per hour, depending on expertise and pace. Compensation may differ between projects based on their scope, complexity, and required skills. Application note: Please submit your CV in English and include your level of English proficiency.
Apr 29, 2026
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