Top 7 Research fellow Jobs in Northampton Ma

ML Research Scientist - AI Trainer
DataAnnotation —Springfield, MA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
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Research Fellow - Artificial Intelligence/Machine Learning
University of Massachusetts Amherst —Amherst, MA
- $70,000 - $110,000 a year
- Full-time
- Management
- Computer Science
- Mid-level
Research Assistant (Casual Position)
Amherst College —Amherst, MA
- $20 - $23 an hour
- Part-time
- Mid-level
- Master's degree
- University
Research Fellow - Biomedical Engineering - Atukorale Lab
University of Massachusetts Amherst —Amherst, MA
- $45,000 - $51,000 a year
- Full-time
- Mid-level
- Master's degree
- Surgery
- AD&D insurance
Research Assistant (Biology)
Amherst College —Amherst, MA
- $20.87 - $22.00 an hour
- Full-time
- Maintenance
- Research
- Mid-level
Post-Doctoral Research Assistant
Amherst College —Amherst, MA
- $20.87 - $22.00 an hour
- Full-time
- Maintenance
- Mid-level
- 3 years

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Clinical Trial Research Assistant
Central Connecticut Dermatology —Cromwell, CT
This individual will work side by side with our clinical trials manager, research RN, and other research staff, on a number of clinical drug trials within the…
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Clinical Research Position - Entry Level
Voltaire Clinical Research —Springfield, MA
Bachelor's degree in Biology, Neuroscience, Psychology, Public Health, Health Sciences, Nursing, or a related field. Comprehensive training will be provided.
$22 - $28 an hour
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The Research Pharmacy Technician 2 works under the direction of a licensed pharmacist in accordance with applicable state and federal laws.
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The Ohio State University —Columbus, OH
Initiates and leads research and development in the areas of quantum well intermixing, GaAs laser micro-transfer printing, transfer of perovskite thin films…
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ML Research Scientist - AI Trainer

DataAnnotation -
Springfield, MA

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Job Details

Part-time | Full-time | Contract
$50 - $100 an hour

Benefits

Flexible schedule

Qualifications

Software coding
Design of experiments
English
Providing code feedback

Full Job Description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing ML Research Scientist - AI Trainer to help train AI models. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Advantages of contracting with us:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

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Refine Your Search

research fellow jobs in northampton ma

ML Research Scientist - AI Trainer

Research Fellow - Artificial Intelligence/Machine Learning

Research Assistant (Casual Position)

Research Fellow - Biomedical Engineering - Atukorale Lab

Research Assistant (Biology)

Post-Doctoral Research Assistant

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