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Data Annotation For Ai Jobs in Massachusetts (NOW HIRING)

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · On-site

$83 - $124/hr

Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Evaluate and refine AI-generated responses for accuracy, clarity, and alignment with business ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Evaluate and refine AI-generated responses for accuracy, clarity, and alignment with business ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Evaluate and refine AI-generated responses for accuracy, clarity, and alignment with business ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110K - $140K/yr

About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the ... Write and maintain QA scripts for in-house and vendor data drops. * Build and maintain annotation ...

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

Write and maintain QA scripts for in-house and vendor data drops. * Build and maintain annotation ... Why Join Field AI? FieldAI is tackling one of robotics' hardest problems: deploying robots in ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110K - $140K/yr

About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the ... Write and maintain QA scripts for in-house and vendor data drops. * Build and maintain annotation ...

YO AI Labs

AI Finance Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Telus Digital

$190K - $230K/yr

Develop and maintain deep expertise across TELUS Digital's Data for Generative AI, Data Collection, Data Annotation, Data Validation, and Off-the-Shelf Datasets capabilities, including text, image ...

Telus Digital

$225K - $255K/yr

For data collection , we leverage a global AI Community of over one million contributors to deliver ... Our data annotation capabilities transform raw, ambiguous data into contextually enriched training ...

YO AI Labs

AI Software Engineer Expert - Remote

Boston, MA · On-site

$83 - $138/hr

Analyze, review, and improve AI-generated software engineering content for technical accuracy and ... Data Annotation * Fact Checking * Independent Research * Business Communication * Problem-Solving

YO AI Labs

AI Software Engineer Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Analyze, review, and improve AI-generated software engineering content for technical accuracy and ... Data Annotation * Fact Checking * Independent Research * Business Communication * Problem-Solving

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All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Massachusetts

Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

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

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

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

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

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What cities in Massachusetts are hiring for Data Annotation For Ai jobs?

Cities in Massachusetts with the most Data Annotation For Ai job openings:

Data Annotation For Ai jobs near you
Infographic showing various Data Annotation For Ai job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AI Data Scientist Expert - Remote

YO AI Labs

Boston, MA • On-site

$83 - $124/hr

Other

Posted 7 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.
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