Chemistry & Python Expert - Freelance AI Trainer

18 hours, 26 minutes ago
Part-time
Junior
Artificial Intelligence and Machine Learning
Mindrift.ai: Be the “I” in AI

Mindrift.ai: Be the “I” in AI

Join 10,000+ experts earning $15-50/hr training AI models remotely. Flexible freelance work, weekly payments. No AI experience required. Apply in 5 minutes.

Internet Software & Services

Description

  • Design original computational chemistry problems that simulate real research workflows.
  • Create problems that require programming-based solutions (validated in Python using numpy, scipy, and chemical libraries).
  • Ensure problems are computationally intensive and not solvable manually within reasonable timeframes (days/weeks).
  • Develop problem sets that require non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling.
  • Base problems on real research challenges or practical applications from chemistry practice.
  • Verify and validate solutions using Python and standard computational chemistry approaches.
  • Document clear problem statements and provide verified correct answers.
  • Complete assigned project tasks and deliverables according to project timelines and qualification processes.

Requirements

  • Submit CV in English and indicate level of English proficiency.
  • Degree in Chemistry or a related field.
  • Strong written English (C1+).
  • Python proficiency for numerical validation; alternatives or equivalents include MATLAB, R, C, SQL, NumPy, Pandas, SciPy, Stata, or domain-specific libraries.
  • 2+ years of professional experience (applied, research, or teaching experience accepted).
  • Experience with numerical methods in chemistry.
  • Familiarity with computational chemistry concepts and methods.
  • Availability for part-time, non-permanent, project-based work and ability to commit to estimated 10–20 hours per week during active project phases.

Benefits

  • Compensation up to $35 per hour equivalent on this project, varying by level and pace of contribution.
  • Project-based, part-time (non-permanent) engagement model.
  • Estimated workload of ~10–20 hours per week during active phases to help plan availability.
  • Opportunities to work on projects for leading tech companies focused on testing and improving AI systems.
  • Varied project scopes and complexity with compensation levels that differ across projects, offering diverse experience and earning potential.

Interested in this position?

Apply directly on the company website

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