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Remote Data Annotation Analyst Jobs in Boston, MA

Remote (United States Only) Job Overview We are seeking experienced Healthcare Attorneys to ... Legal Document Review & Annotation * Policy Analysis * Contract Drafting * U.S. Healthcare ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Investigate and analyze the development, morphology, and behavior of microscopic organisms ...

Staff Front End Engineer

Boston, MA · On-site +1

$172K - $229K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Investigate and analyze the development, morphology, and behavior of microscopic organisms ...

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 ...

Data Architect

Boston, MA · Remote

$69.25 - $89/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 position. Based in Northborough, this role plays a crucial part in harnessing data to ... As an Oncology Data Specialist, you will be responsible for analyzing complex datasets, managing ...

Trauma data Analyst

Salem, MA · On-site +1

$17.71 - $25.28/hr

No Licenses and Credentials Experience related experience 2-3 years in Trauma Analyst Data required ... Hearing Constantly (67-100%) Remote Type Remote Work Location 3 Dove Ave Scheduled Weekly Hours 36 ...

This full-time, remote position allows you to leverage your expertise in the health and fitness ... As an Oncology Data Specialist, you will play a crucial role in managing and analyzing oncology ...

Senior Analyst, Product (Remote)

Boston, MA · On-site +1

$120K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data is our compass, guiding every decision, especially within our product endeavors. If you're ... Analyze all aspects of ezCater's product and site funnel, identifying points of friction, areas of ...

Senior Health Data Consultant

Boston, MA · On-site +1

$120K - $160K/yr

This is a remote role. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance ... This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Showing results 41-60

Remote Data Annotation Analyst information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

How much do remote data annotation analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data annotation analyst in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

What is a remote data annotation analyst?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

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

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.

How does a remote data annotation analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

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

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

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

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

What job categories do people searching Remote Data Annotation Analyst jobs in Boston, MA look for?

The top searched job categories for Remote Data Annotation Analyst jobs in Boston, MA are:

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

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

Infographic showing various Remote Data Annotation Analyst job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $89,780 per year, or $43.2 per hour.

Healthcare Attorney - Remote

YO AI Labs

Boston, MA • Remote

$140 - $400/hr

Full-time

Posted 5 days ago


Job description

Job Title: Healthcare Attorney

Job Type: Contractor
Location: Remote (United States Only)

Job Overview

We are seeking experienced Healthcare Attorneys to contribute their legal expertise to an innovative project at the intersection of healthcare law and emerging technology. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining AI-generated legal content related to healthcare regulations and compliance. No prior AI experience is required—your healthcare legal expertise, regulatory knowledge, and analytical skills are what matter most.

Key Responsibilities
  • Analyze, review, and annotate healthcare legal documents and regulatory materials to support AI training objectives.

  • Draft and evaluate legal content related to healthcare compliance, fraud and abuse, patient privacy, telemedicine, and regulatory matters.

  • Review AI-generated legal outputs for accuracy, clarity, and compliance with U.S. healthcare laws and ethical standards.

  • Provide detailed written feedback to improve AI legal reasoning and content quality.

  • Identify emerging trends and regulatory developments in healthcare law.

  • Collaborate with cross-functional teams to clarify legal concepts and ensure project alignment.

  • Develop practical healthcare legal scenarios and use cases based on real-world challenges.

Required Skills
  • Healthcare Law

  • Regulatory Compliance (HIPAA, Stark Law, Anti-Kickback Statute)

  • Legal Document Review & Annotation

  • Policy Analysis

  • Contract Drafting

  • U.S. Healthcare Regulatory Knowledge

  • Written & Verbal Communication

  • Attention to Detail

  • Collaboration

Preferred Qualifications
  • Juris Doctor (JD) degree and active license to practice law in the United States.

  • Significant experience advising on healthcare law, compliance, and regulatory matters.

  • Strong knowledge of HIPAA, Stark Law, Anti-Kickback Statute, and healthcare regulations.

  • Experience with policy analysis, contract drafting, and regulatory review in healthcare settings.

  • Familiarity with healthcare operations, risk management, or clinical environments.

  • Excellent written and verbal communication skills with the ability to explain complex legal concepts clearly.

  • Strong attention to detail and commitment to producing accurate legal analysis.

  • Interest in legal technology, healthcare innovation, or AI-driven projects is a plus.