Freelance Data Science Engineer (Python & SQL)
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| Company Name | Mindrift |
| Company Type | Private |
| Job Type | Freelance / Project-Based |
| Salary Range | Market Competitive |
| Location | Czechia |
| Qualifications | None / No Formal Education |
| Experience | 3 Year+ |
Job Overview
Mindrift is seeking a Freelance Data Science Engineer with expertise in Python and SQL to contribute to cutting-edge AI training projects. This fully remote, project-based role offers the opportunity to work with leading global technology companies and shape the future of generative AI.
Company Overview
Mindrift (mindrift.ai) is an expert-sourcing platform built by Toloka, a Nebius Group company that has been a global leader in data services for AI since 2014. Launched by CEO Olga Megorskaya, Mindrift connects over 10,000 professionals across 50+ domains and 15+ languages with critical AI training projects, including supervised fine-tuning, reinforcement learning from human feedback (RLHF), model evaluation, and red-teaming. Operated from Amsterdam, Netherlands, Mindrift provides flexible, fully remote, project-based opportunities for experts to contribute to frontier AI models developed by leading technology companies.
Quick Details
- Salary Range: Market Competitive
- Job Type: Freelance / Project-Based
- Qualifications: None / Open to all applicants
- Experience: 3 Year+
Key Responsibilities
- Contribute to supervised fine-tuning and reinforcement learning from human feedback (RLHF) projects.
- Perform model evaluation and red-teaming for frontier AI models developed by global technology companies.
- Utilize Python and SQL extensively for data analysis, manipulation, and engineering tasks within AI projects.
- Collaborate effectively on project-based assignments, delivering high-quality and timely results.
- Apply deep expertise in data science to address complex challenges in generative AI development.
- Work independently in a remote setting to meet project objectives.
Requirements
- Proven proficiency in Python and SQL, essential for data science and engineering tasks.
- Solid understanding of data science principles, machine learning algorithms, and AI concepts.
- Experience with AI training methodologies, model evaluation, or fine-tuning processes.
- Ability to thrive in a fully remote, project-based work environment with strong self-management.
- Excellent analytical, problem-solving, and attention-to-detail skills.
- Strong communication skills to collaborate with diverse, global teams and stakeholders.
Benefits
- Opportunity to work on groundbreaking generative AI projects for leading global technology companies.
- Enjoy the flexibility and autonomy of a fully remote, project-based work model.
- Contribute directly to shaping the future of artificial intelligence.
- Access to a network of highly skilled domain experts across various fields.
- Competitive compensation for specialized data science and engineering expertise.
- Professional growth through engagement with cutting-edge AI technologies and challenges.
