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Data Science Specialist

Meridial · 100% remote · Contract · Posted

Pay
$6–65/hr
Location
United States
Languages
English
Hours
Flexible
Openings
Not listed
Level
Expert
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Summary

Evaluate AI responses to data science project scenarios and theoretical questions. Check accuracy and reasoning, document reproducible errors, and suggest improvements to prompts and evaluation metrics.

What you'll do

  • Test models on data science scenarios and theory
  • Verify factual accuracy and logical reasoning
  • Document reproducible errors
  • Suggest prompt and evaluation metric improvements

Requirements

  • Expert knowledge of data science
  • Clear communication that explains your reasoning
  • Master’s or PhD in data science, computer science, statistics, or a related field preferred
  • Publications, industry projects, cloud platform experience, or open-source contributions preferred
  • Secure computer and high-speed internet

Skills

  • Machine Learning
  • Statistical Modeling
  • Data Engineering
  • Data Visualization
  • Natural Language Processing
  • Time Series Analysis
  • Deep Learning
  • Algorithm Development

Full description

Are you a data science expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of analytical discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with emerging technologies, and streamline data-driven decision-making for professionals everywhere. That training data begins with you - we need your expertise to help power the next generation of AI.

We’re looking for data science specialists who live and breathe machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development. You’ll challenge advanced language models on topics like supervised learning, unsupervised clustering, regression techniques, model evaluation metrics, feature engineering, anomaly detection, and real-world data pipelines - documenting every failure mode so we can harden model reasoning.

On a typical day, you will converse with the model on project scenarios and theoretical data science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

A master’s or PhD in data science, computer science, statistics, or a closely related field is ideal; peer‑reviewed publications, industry projects, experience with cloud platforms, or open-source contributions signal fit. Clear, metacognitive communication - “showing your work” - is essential.

Ready to turn your data science expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.

We offer a pay range of $6-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.


Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level

Location: open to applicants in United States.

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