ZipRecruiter

Log In

1

Data Annotation Engineer Jobs in Massachusetts (NOW HIRING)

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 ...

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

ROLE SUMMARY Babel Street is looking for a Software Engineer to join our Analytics Group. This is ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

ROLE SUMMARY Babel Street is looking for a Software Engineer to join our Analytics Group. This is ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

Telus Digital

$190K - $242K/yr

... Engineering. From mobile apps and websites to voice UI, chatbots, AI, customer service, and in ... Coach the team on Data-specific solutioning (data collection, data annotation, and data validation ...

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

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

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · On-site

$48 - $96/hr

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

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

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

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

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

TSMG

Robot Teleoperator (AI & Robotics)

Boston, MA

... data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist engineering ...

TSMG

Robot Teleoperator (AI & Robotics)

Watertown, MA · On-site

... data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist engineering ...

TSMG

Robot Teleoperator (AI & Robotics)

Cambridge, MA · On-site

... data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist engineering ...

TSMG

Robot Teleoperator (AI & Robotics)

Cambridge, MA

... data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist engineering ...

TSMG

Robot Teleoperator (AI & Robotics)

Watertown, MA · On-site

... data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist engineering ...

TSMG

Robot Teleoperator (AI & Robotics)

Boston, MA · On-site

... data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist engineering ...

previous page

Showing results 41-60

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.

NLP/Linguistics Software Engineer

Hatch IT

Somerville, MA • On-site

$125K - $150K/yr

Full-time

Re-posted 15 days ago

Job description

hatch I.T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer. Please see details below:

About the Role

Babel Street is looking for a Software Engineer to join their Analytics Group. This is an execution-focused "builder" role for an engineer early in their career who wants to work at the intersection of NLP algorithms, search engines, and data science techniques. In this role, you will help create the next generation of architecture and components for their analytics platform, focusing specifically on their record matching functionality. You will bridge the gap between linguistic theory and practical AI applications, helping us implement practical, innovative text analytics and AI-driven features. You will work closely with senior engineers to learn how to deliver software that is safe, reliable, and production-ready.

About the Company

Babel Street is the trusted technology partner for the world's most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage.  The actionable insights we deliver safeguard lives and protect critical assets around the world.  Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.

What you will do:
  • Implement and Maintain: Write high-quality, maintainable code to support the analytics platform and its record matching components.
  • Bridge Theory and Practice: Take theoretical ideas from linguistics and data science and implement them as practical software features.
  • Support Search Internals: Help optimize and maintain search engine components, including Elasticsearch data modeling and performance tuning.
  • Collaborate and Learn: Participate in agile sprint planning and work daily with senior partners to translate project requirements into technical solutions.
  • Build Scalable Systems: Assist in designing and shipping robust APIs and scalable architectures that integrate into our AI-native platform.
What you will bring:

Required:

  • 2-4 years of professional software engineering experience (including high-impact internships or projects).
  • Proficiency in Java (our core analytics language) or Python (for AI/ML integrations).
  • Problem Solver: Ability to work across teams and make steady progress in ambiguous problem spaces.
  • Educational Foundation: Bachelor's degree in Computer Science, Linguistics, or a related technical field.

Preferred (Nice to Have):

  • Foundation in Data Science: Experience with data quality evaluation, data annotation, or guideline design, preferably for linguistics.
  • Familiarity with Elasticsearch internals or other search/retrieval-based systems.
  • Exposure to computational linguistics or natural language processing (NLP).
  • Interest in Kubernetes and cloud-native architectures.
What success looks like:
  • Month 1-2: Ramp up on the analytics stack and record matching architecture; ship your first initial changes to production.
  • Month 3-4: Take ownership of a specific component or pipeline improvement with guidance, including full testing and documentation.
  • Month 5-6: Deliver a measurable improvement to record matching quality or pipeline reliability and contribute to team design discussions.
Why this role matters:
The record matching functionality is where Babel Street's signals become usable intelligence. Do you care about provenance, explainability, and trust? When a match decision affects whether someone is onboarded or investigated, "the model said so" is not good enough. You will help build systems where every match is defensible, auditable, and tunable - a rare luxury in modern ML-heavy stacks. Do you speak multiple languages? Since our platform processes data from around the globe, your linguistic insights can directly inform how we build and polish the NLP and computational linguistics components that make our record matching world-class.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply