2

Data Science Research Assistant Remote Jobs in New York

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Research Assistant

New York, NY ยท On-site +1

$29/hr

Duties and responsibilities include coding qualitative data from study project, performing ... Remote Commitment: Temporary - Part-Time (10 hours/week) Start date: June 30, 2025 End date: August ...

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Research Assistant

Manhattan, NY ยท On-site +1

$18/hr

Overview The Research Assistant will be assisting with data entry, data analysis, and preparation of articles for publication. Responsibilities * Assist faculty members with classroom instruction ...

Research Assistant

Manhattan, NY ยท On-site +1

$18/hr

Overview The Research Assistant will be assisting with data entry, data analysis, and preparation of articles for publication. Responsibilities * Assist faculty members with classroom instruction ...

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale ...

Data Scientist / Researcher

Manhattan, NY ยท On-site +1

$160K - $470K/yr

... research content that will help drive HOF Capital's impact on the broader tech industry ... Responsibilities: * Assist with investment sourcing by: (1) building data pipelines and machine ...

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data ...

Principal Scientist, Data Science

New Brunswick, NJ ยท On-site +1

$169K - $171K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Janssen Research & Development, LLC Job Title: Principal Scientist, Data Science Job Code: A011.4028.11 Job Location: New Brunswick, NJ Job Type: Full-Time Rate of Pay: $169,541 - $171,000/year Job ...

next page

Showing results 1-20

Data Science Research Assistant Remote information

What is a data science research assistant remote?

A Data Science Research Assistant (Remote) is a professional who supports data scientists and research teams by collecting, cleaning, analyzing, and visualizing data, often from a remote location. Their responsibilities may include assisting with experiment design, performing statistical analyses, preparing datasets, creating reports, and helping to develop or test machine learning models. Working remotely, they utilize collaboration tools and cloud platforms to work efficiently with distributed teams. This role is ideal for individuals with strong analytical skills, programming knowledge (such as Python or R), and an interest in research and data-driven problem solving.

What are the key skills and qualifications needed to thrive as a data science research assistant remote?

To thrive as a Data Science Research Assistant (Remote), a solid background in statistics, programming (Python or R), and data analysis, often supported by relevant coursework or a degree, is essential. Familiarity with data visualization tools (e.g., Tableau), databases (SQL), and platforms like Jupyter Notebook, as well as experience with machine learning libraries, is typically required. Strong problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills make candidates stand out. These competencies are crucial for managing complex data tasks, collaborating with team members virtually, and delivering reliable analytical insights.

What are common challenges faced by remote data science research assistants, and how can they be addressed?

Remote Data Science Research Assistants often encounter challenges such as maintaining clear communication with team members, managing time across different projects, and accessing necessary datasets or computing resources. Overcoming these hurdles typically involves leveraging collaboration tools like Slack or Zoom for regular check-ins, setting clear expectations with supervisors on deliverables, and ensuring secure, remote access to data and software. Proactively seeking feedback and participating in virtual team meetings can help foster a sense of connection and keep projects on track.

What is the difference between Data Science Research Assistant Remote vs Data Analyst Remote?

AspectData Science Research Assistant RemoteData Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in Data Analysis, Statistics, or related field
Work EnvironmentRemote research projects, academic or research institutionsRemote data interpretation and reporting for various industries
Employer & Industry UsageUniversities, research labs, tech companiesBusiness, finance, healthcare, marketing

While both roles involve working with data remotely, Data Science Research Assistants focus on research projects, often in academic or research settings, requiring a strong foundation in data science and statistics. Data Analysts typically analyze and interpret data for business insights across various industries. The roles share similar credentials but differ in their primary focus and work environment.

What are popular job titles related to Data Science Research Assistant Remote jobs in New York?

For Data Science Research Assistant Remote jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Data Science Research Assistant Remote jobs?

Cities in New York with the most Data Science Research Assistant Remote job openings:

AI Data Science Expert - Remote

YO AI Labs

New York, NY โ€ข Remote

Part-time

Posted 9 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.