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Data Scientist; Part-Time | Remote

Remote / Online - Candidates ideally in
Fresno, Fresno County, California, 93650, USA
Listing for: Call For Referral
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60 - 100 USD Hourly USD 60.00 100.00 HOUR
Job Description & How to Apply Below
Position: Data Scientist (Part-Time | Remote | $60 –$100/hr)

Data Scientist (Part-Time | Remote | $60 –$100/hr)

Call For Referral provided pay range

This range is provided by Call For Referral. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$60.00/hr - $100.00/hr

Direct message the job poster from Call For Referral

Helping AI Startups Hire 0→1 Founding Engineers & Product Talent | Backend & Infra | US & Europe

Exceptional Data Scientists

Hourly Contract | Part-Time Remote | $60–$100 per hour

1. About the Role

Mercor is partnering with one of the world's leading AI research labs to engage experienced Data Scientists in developing robust, high-performance systems that power next-generation machine learning applications.

In this role, you will perform hands‑on data science work — from experiment design and data preprocessing to model development, evaluation, and deployment. You will also play a key role in writing, reviewing, and validating prompt-based datasets that train AI systems to think and reason more effectively.

This is a remote, part‑time opportunity ideal for data scientists who thrive in research‑driven, highly technical environments.

2.

Key Responsibilities
  • Design and execute data science experiments for AI model development and evaluation.
  • Collect, preprocess, and analyze structured and unstructured datasets.
  • Build and validate machine learning models using modern frameworks (Tensor Flow, PyTorch, scikit‑learn, etc.).
  • Conduct feature engineering, data wrangling
    , and statistical inference for experimentation and model optimization.
  • Write, review, and validate prompt-based questions and tasks used to train advanced AI models.
  • Collaborate closely with engineering and research teams to deploy production‑ready solutions.
3. Ideal Qualifications
  • 3+ years of professional experience in data science or applied analytics
    .
  • Proficiency in Python (Jupyter Notebooks) and libraries such as Num Py, Pandas, Sci Py, Sym Py, scikit‑learn, Tensor Flow, or Py Torch .
  • Bachelor’s degree in Data Science, Statistics, Computer Science
    , or a related field from the U.S., Canada, U.K., Australia, or New Zealand
    .
  • Strong foundation in:
  • Exploratory data analysis and statistical inference
  • Machine learning workflows and model evaluation
  • Feature engineering, data preprocessing, and wrangling
  • A/B testing, experimentation, or causal inference
  • Excellent verbal and written communication skills.
  • Meticulous attention to detail and data quality.
4. More About the Opportunity
  • Commitment: 20 – 40 hours per week (with potential to scale up to 80)
  • Schedule: Fully remote and asynchronous — work on your own time
  • Duration: Minimum 1 month, with potential extension based on performance
  • Start Date: Early September (applications reviewed on a rolling basis)
5. Compensation & Contract Terms
  • Hourly Rate: $60–$100/hour (based on experience and region)
  • Payments: Weekly via Stripe Connect for services rendered
  • Terms: Flexible, based on location and expertise
6. Application Process
  • Submit your resume or portfolio to begin.
  • Complete a brief form outlining your technical background and agent usage experience.
  • Applications are reviewed continuously — selected candidates will be contacted for next steps.


PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity.

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