About the job
Please submit your CV in English and indicate your level of English proficiency.
About Mindrift
Mindrift matches experienced specialists with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a freelance, project-based role and does not offer permanent employment.
Role Overview
The Biology and Python Specialist - Freelance AI Trainer will design and validate computational biology challenges for AI training. Assignments draw on real-world research problems and require advanced programming skills.
Main Responsibilities
- Design computational biology problems that mirror actual research workflows.
- Develop tasks requiring Python programming, using libraries such as Numpy, SciPy, and BioPython.
- Create problems that are computationally intensive and not solvable manually within days or weeks.
- Formulate challenges involving complex reasoning in bioinformatics, systems biology, and molecular modeling.
- Base all problems on authentic research issues or practical biological applications.
- Validate solutions with Python and established computational biology libraries.
- Document each problem clearly and provide verified, correct answers.
Qualifications
- Degree in Biology or a closely related field.
- Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other relevant libraries is also valued.
- Minimum of 2 years’ professional experience in applied research or teaching.
- Background in biological data analysis and algorithm development.
- Familiarity with bioinformatics tools and computational methods.
- Strong written English skills (C1 level or higher).
Workload and Project Details
Projects are part-time and non-permanent. During active phases, expect 10–20 hours per week, depending on project needs. Actual workload may vary and is not guaranteed.
Compensation
Contributors can earn up to $29 per hour, depending on expertise and speed. Compensation varies by project scope, complexity, and required skills.
Application Process
- Apply
- Complete qualifications
- Join a project
- Execute tasks
- Receive compensation
Location: Remote , Rome, Metropolitan City of Rome Capital, Italy

