Call For Referral
Data Scientist (Part-Time | Remote | $60 –$100/hr)
Call For Referral, San Francisco, California, United States, 94199
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 (TensorFlow, 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
NumPy, Pandas, SciPy, SymPy, scikit‑learn, TensorFlow, or PyTorch .
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.
#J-18808-Ljbffr
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 (TensorFlow, 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
NumPy, Pandas, SciPy, SymPy, scikit‑learn, TensorFlow, or PyTorch .
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.
#J-18808-Ljbffr