Freelance Data Science Engineer (Python & SQL)

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Company NameMindrift
Company TypePrivate
Job TypeFreelance / Project-Based
Salary RangeMarket Competitive
LocationCzechia
QualificationsNone / No Formal Education
Experience3 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.

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