About the job
Please submit your CV in English, including your English proficiency level.
At Toloka AI, we connect talented professionals with project-based AI opportunities at leading tech companies. Our focus is on testing, evaluating, and enhancing AI systems. Note that participation is on a project basis, not a permanent position.
What You Will Be Doing
Each project presents unique challenges. As a contributor, you may be tasked with:
- Designing original computational STEM challenges that mimic real-world scientific workflows
- Creating problems solvable through Python programming
- Ensuring tasks are computationally demanding, requiring significant time to solve (days or weeks)
- Developing problems that involve complex reasoning and innovative problem-solving strategies
- Validating solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn)
- Clearly documenting problem statements and providing verified solutions
Who We Are Looking For
This role is ideal for machine learning specialists with Python experience, seeking part-time, non-permanent projects. The ideal candidate will possess:
- 5+ years of practical machine learning experience with demonstrable business impact
- A portfolio of completed projects and publications that showcase real-world problem-solving capabilities
- Advanced proficiency in Python for data science (Pandas, Numpy, Scipy, Scikit-learn, Statsmodels)
- Deep understanding of statistical analysis and machine learning algorithms, methods, and applications
- Proficiency in SQL and database operations for data manipulation and analysis
- Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
- Familiarity with MLOps practices and model deployment processes
- Knowledge of contemporary frameworks (TensorFlow, PyTorch, LangChain)
- Strong written English skills (C1 or higher)
How the Process Works
Apply → Complete qualifications → Join a project → Perform tasks → Receive payment
Project Time Expectations
This project requires an estimated commitment of 10–20 hours per week during active phases, depending on project requirements. Please note that this is an estimate, not a guaranteed workload.
Compensation
Contributors can earn up to $90 per hour, depending on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please be aware that other projects on the platform may have different compensation structures.

