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Data Annotation Engineer Jobs in Massachusetts (NOW HIRING)

YO AI Labs

AI Finance Expert - Remote

Boston, MA · On-site

$92K - $115K/yr

Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data Interpretation * Data Annotation

YO AI Labs

AI Finance Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data Interpretation * Data Annotation

Telus Digital

$225K - $255K/yr

... Engineering. From mobile apps and websites to voice UI, chatbots, AI, customer service, and in ... Our data annotation capabilities transform raw, ambiguous data into contextually enriched training ...

Sereact

Teleoperation Engineer

Boston, MA · On-site

$60 - $90/hr

We are looking for a Teleoperation Engineer to sit at the intersection of our operations and ... Background in data annotation, quality assurance, or structured data collection pipelines

Sereact GmbH

Teleoperation Engineer

Boston, MA · On-site

$60 - $90/hr

We are looking for a Teleoperation Engineer to sit at the intersection of our operations and ... Background in data annotation, quality assurance, or structured data collection pipelines

Sereact GmbH

Teleoperation Engineer

Boston, MA · On-site

$60K - $90K/yr

We are looking for a Teleoperation Engineer to sit at the intersection of our operations and ... Background in data annotation, quality assurance, or structured data collection pipelines

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA

$125K - $150K/yr

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

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Showing results 21-40

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Massachusetts

Data Annotation Engineer information

See Massachusetts salary details

$56.2K

$161K

$215.1K

How much do data annotation engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data annotation engineer in Massachusetts is $161,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $214,100.00 per year, depending on experience, location, and employer.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What is the salary of data annotation engineer?

The salary of a data annotation engineer typically ranges from $40,000 to $80,000 annually, depending on experience, location, and the complexity of annotation tasks. Entry-level positions may start lower, while experienced professionals with specialized skills in tools like Labelbox or CVAT can earn higher salaries.

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

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

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

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

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

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

Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $161,046 per year, or $77.4 per hour.

AI Finance Expert - Remote

YO AI Labs

Boston, MA • On-site

$92K - $115K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Description
Job Description
Job Title: AI Finance Domain Expert

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

Job Overview

We are seeking experienced AI Finance Domain Experts to contribute their financial expertise to an innovative project at the intersection of finance and artificial intelligence. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining AI-generated financial content. No prior AI experience is required—your financial expertise, analytical skills, and professional judgment are what matter most.

Key Responsibilities

  • Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance.

  • Develop, refine, and evaluate prompts related to financial analysis, valuation, and investment decision-making.

  • Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation criteria.

  • Author and review investment memos, due diligence reports, research summaries, and technical documentation.

  • Evaluate AI outputs for logical consistency, factual accuracy, and adherence to professional financial standards.

  • Conduct independent research and fact-checking to validate financial information.

  • Provide detailed feedback to improve AI model performance and financial reasoning.

Required Skills

  • Critical Thinking

  • Analytical Reasoning

  • Quality Assurance

  • Prompt Engineering

  • AI Output Evaluation

  • Financial Analysis

  • Technical & Report Writing

  • Business Communication

  • Content Review & Editing

  • Fact Checking

  • Data Interpretation

  • Data Annotation

  • Problem-Solving

  • Independent Research

  • Attention to Detail

Preferred Qualifications

  • Minimum 3 years of experience in private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance.

  • Experience preparing investment memos, valuation analyses, financial models, due diligence reports, or market research.

  • Strong analytical, critical thinking, and problem-solving skills.

  • Excellent written communication and professional editing abilities.

  • Experience with prompt authoring, AI output evaluation, data annotation, or content review is a plus.

  • Master's, MBA, JD, PhD, or another advanced degree is preferred.

  • Commitment to producing high-quality, accurate, and well-documented work.

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