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Data Annotation Research Jobs in Massachusetts (NOW HIRING)

AI Consulting Expert - Remote

Boston, MA ยท Remote

$100 - $200/hr

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in strategy consulting, management consulting ...

AI Consulting Expert - Remote

Boston, MA ยท Remote

$100 - $200/hr

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in strategy consulting, management consulting ...

Data Annotation * Fact Checking * Independent Research * Business Communication * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of professional experience as a Software ...

AI Consulting Expert - Remote

Boston, MA ยท Remote

$100 - $200/hr

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in strategy consulting, management consulting ...

$190K - $230K/yr

... research investments. Data & AI Expertise & Solutioning * Develop and maintain deep expertise across TELUS Digital's Data for Generative AI, Data Collection, Data Annotation, Data Validation, and Off ...

New

$165K - $225K/yr

... research investments. Data & AI Expertise & Solutioning * Develop deep expertise across TELUS Digital's Data for Generative AI, Data Collection, Data Annotation, Data Validation, and Off-the-Shelf ...

$165K - $225K/yr

... research investments. Data & AI Expertise & Solutioning * Develop deep expertise across TELUS Digital's Data for Generative AI, Data Collection, Data Annotation, Data Validation, and Off-the-Shelf ...

Data Scientist

Dartmouth, MA ยท On-site

  • Medical

  • Dental

  • PTO

Support annotation of datasets and development of machine learning models, including training and ... Participate in interdisciplinary working groups and collaborative research efforts * Support ...

$132K - $215K/yr

... maturity and data annotation requirements. Strategic Partnerships & Go-to-Market Alignment ... research direction, and delivery execution. * Collaborate with Marketing to align on campaigns ...

Showing results 21-40

Data Annotation Research information

What are some common challenges faced in data annotation research roles, and how can they be addressed?

Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.

What is the difference between Data Annotation Research vs Data Labeling Specialist?

AspectData Annotation ResearchData Labeling Specialist
CredentialsTypically requires a background in data science, research methods, or related fieldsOften requires basic technical skills and experience with labeling tools
Work EnvironmentResearch labs, tech companies, or remote research teamsData centers, tech companies, or remote labeling teams
Industry UsageUsed in AI/ML research, developing annotation methodologiesUsed in preparing datasets for machine learning models
Search & Comparison IntentUnderstanding research-focused roles in data annotationLooking for practical data labeling jobs

Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.

What is data annotation research?

Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.

What are the key skills and qualifications needed to thrive as a data annotation researcher, and why are they important?

To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.

What are popular job titles related to Data Annotation Research jobs in Massachusetts?

For Data Annotation Research jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Annotation Research jobs in Massachusetts look for?

The top searched job categories for Data Annotation Research jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Annotation Research jobs?

Cities in Massachusetts with the most Data Annotation Research job openings:

Infographic showing various Data Annotation Research job openings in Massachusetts as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

AI Consulting Expert - Remote

YO AI Labs

Boston, MA โ€ข Remote

$100 - $200/hr

Part-time

Posted 5 days ago


Job description

Job Title: AI Consulting Domain Remote

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

Job Overview

We are seeking experienced AI Consulting Domain Experts to contribute their consulting expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated business content, helping enhance the quality, accuracy, and reasoning of AI outputs. No prior AI experience is required—your consulting expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Evaluate and refine AI-generated responses for accuracy, clarity, and alignment with business objectives.
  • Author, review, and enhance strategy reports, market analyses, business cases, executive summaries, and technical documentation.
  • Develop, refine, and evaluate prompts for AI models.
  • Conduct quality assurance and rubric-based evaluations of AI-generated outputs.
  • Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.
  • Provide actionable feedback and recommendations to improve AI model performance.
  • Collaborate remotely with project teams to support continuous AI improvement.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical & Report Writing
  • Business Communication
  • Content Review & Editing
  • Data Interpretation
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in strategy consulting, management consulting, corporate strategy, business transformation, or operations.
  • Experience preparing strategy reports, business cases, market analyses, client presentations, or executive recommendations.
  • Strong professional writing, business communication, and technical editing skills.
  • Excellent critical thinking, analytical reasoning, and structured problem-solving abilities.
  • Bachelor's degree or equivalent professional experience required; an advanced degree (Master's, MBA, JD, or PhD) is a plus.
  • Candidates with strong academic or professional achievements are encouraged to apply