Call For Referral
Data Scientist (Remote | Part-Time | $80 –$120/hr)
Call For Referral, San Francisco, California, United States, 94199
Overview
Data Scientist (Remote | Part-Time | $80 –$120/hr) 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
$80.00/hr - $120.00/hr Direct message the job poster from Call For Referral About the Role
A
leading AI research initiative
is seeking experienced
Data Science Experts
to support high-impact collaborations focused on advancing the reasoning, accuracy, and reliability of cutting-edge AI systems. In this role, you’ll apply your
data science and engineering expertise
to evaluate model performance, design algorithmic benchmarks, and improve the technical rigor of AI-generated code and analyses. Your contributions will directly shape how next-generation AI systems reason, code, and learn. Key Responsibilities
Review and refine
AI-generated code, prompts, and analytical outputs. Validate technical concepts for
statistical soundness and computational accuracy. Provide structured feedback on
solution quality, logic, and clarity. Categorize and label datasets, prompts, and models by topic and difficulty. Contribute to
benchmarking and evaluation frameworks
for model performance. Ideal Qualifications
3+ years
of experience in data science, machine learning, or applied statistics (industry or research). Degree in
Data Science, Computer Science, Statistics, Applied Mathematics, or related field
(Bachelor’s minimum; advanced degree preferred). Strong proficiency in
Python and SQL ; familiarity with
R, Java, or Scala
is a plus. Experience building and deploying ML models using
scikit-learn, TensorFlow, or PyTorch. Skilled in
statistical analysis, feature engineering, and data wrangling
on large datasets. Excellent analytical, communication, and documentation skills. Project Timeline
Start Date:
Immediate Duration:
1–2 months (potential for extension) Commitment:
15–25 hours/week (flexible up to 40 hours/week) Schedule:
Fully remote and asynchronous — work on your own time Compensation & Contract
Rate:
$80–$120 USD/hour (based on experience) Payments:
Daily via
Stripe Connect Application & Onboarding Process
Upload your
resume or CV. Complete a short
AI-led interview
(15 minutes). Receive onboarding materials and next steps within a few days. ⚡
PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
⚡
#J-18808-Ljbffr
Data Scientist (Remote | Part-Time | $80 –$120/hr) 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
$80.00/hr - $120.00/hr Direct message the job poster from Call For Referral About the Role
A
leading AI research initiative
is seeking experienced
Data Science Experts
to support high-impact collaborations focused on advancing the reasoning, accuracy, and reliability of cutting-edge AI systems. In this role, you’ll apply your
data science and engineering expertise
to evaluate model performance, design algorithmic benchmarks, and improve the technical rigor of AI-generated code and analyses. Your contributions will directly shape how next-generation AI systems reason, code, and learn. Key Responsibilities
Review and refine
AI-generated code, prompts, and analytical outputs. Validate technical concepts for
statistical soundness and computational accuracy. Provide structured feedback on
solution quality, logic, and clarity. Categorize and label datasets, prompts, and models by topic and difficulty. Contribute to
benchmarking and evaluation frameworks
for model performance. Ideal Qualifications
3+ years
of experience in data science, machine learning, or applied statistics (industry or research). Degree in
Data Science, Computer Science, Statistics, Applied Mathematics, or related field
(Bachelor’s minimum; advanced degree preferred). Strong proficiency in
Python and SQL ; familiarity with
R, Java, or Scala
is a plus. Experience building and deploying ML models using
scikit-learn, TensorFlow, or PyTorch. Skilled in
statistical analysis, feature engineering, and data wrangling
on large datasets. Excellent analytical, communication, and documentation skills. Project Timeline
Start Date:
Immediate Duration:
1–2 months (potential for extension) Commitment:
15–25 hours/week (flexible up to 40 hours/week) Schedule:
Fully remote and asynchronous — work on your own time Compensation & Contract
Rate:
$80–$120 USD/hour (based on experience) Payments:
Daily via
Stripe Connect Application & Onboarding Process
Upload your
resume or CV. Complete a short
AI-led interview
(15 minutes). Receive onboarding materials and next steps within a few days. ⚡
PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
⚡
#J-18808-Ljbffr