2

Remote Data Analysis Jobs in Boston, MA (NOW HIRING)

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

... structured analysis, prioritized target lists, and practical recommendations. This is a remote ... Analyze data, documents, websites, interviews, and public information to form concise ...

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/hr

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems ... remote global workforce. If you are passionate about leading large-scale cloud and data ...

Remote Job Overview We are seeking experienced Pharmacovigilance Experts to contribute their drug ... Analyze aggregate safety data and reconcile case counts, figures, and inconsistencies across data ...

Remote Job Type: Contractor Pay: $60-$65/hour Job Overview We are looking for an experienced ... Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs)

Remote Job Type: Contractor Pay: $60-$65/hour Job Overview We are looking for an experienced ... Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs)

Remote Job Overview We are seeking experienced Pharmacovigilance Experts to contribute their drug ... Analyze aggregate safety data and reconcile case counts, figures, and inconsistencies across data ...

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Build analytical infrastructure, including reusable code, templates, and workflows that improve ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Showing results 21-40

Remote Data Analysis information

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What are the most commonly searched types of Data Analysis jobs in Boston, MA?

The most popular types of Data Analysis jobs in Boston, MA are:

What are popular job titles related to Remote Data Analysis jobs in Boston, MA?

For Remote Data Analysis jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Remote Data Analysis jobs?

Cities near Boston, MA with the most Remote Data Analysis job openings:

Infographic showing various Remote Data Analysis job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

AI Data Science Expert - Remote

YO AI Labs

Boston, MA • Remote

$100 - $200/hr

Part-time

Posted 5 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.