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Data Annotation Engineer Jobs in Boston, MA (NOW HIRING)

Build and maintain annotation software and other internal data tooling. Data Collection ... It's built to grow: the Data Operations Engineering track is expected to scale from one person ...

Build and maintain annotation software and other internal data tooling. Data Collection ... It's built to grow: the Data Operations Engineering track is expected to scale from one person ...

Build and maintain annotation software and other internal data tooling. Data Collection ... It's built to grow: the Data Operations Engineering track is expected to scale from one person ...

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 ...

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 ...

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 ...

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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Data Annotation Engineer information

See Boston, MA salary details

$55.9K

$160.2K

$214K

How much do data annotation engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data annotation engineer in Boston, MA is $160,182.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $212,900.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Data Annotation Engineer jobs in Boston, MA? For Data Annotation Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Boston, MA look for? The top searched job categories for Data Annotation Engineer jobs in Boston, MA are:
Infographic showing various Data Annotation Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 68% Full Time, 9% Part Time, and 23% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $159,724 per year, or $76.8 per hour.

Senior Data Operations Engineer

FieldAI

Boston, MA • On-site

$110K - $140K/yr

Full-time

Posted 20 days ago


Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.
About the Role
Field AI is transforming how robots interact with the real world. Our R&D team, the FieldAI Research Institute (FAIRI), is based in Cambridge, MA, where we build risk-aware, field-ready AI systems that unlock general purpose intelligence for robotics.
FAIRI is looking for a Senior Data Operations Engineer to run the day-to-day of our data operations function: building the tooling the pipeline runs on, staying hands-on enough to dogfood and stress-test that tooling yourself, and managing the interns and contractors who carry out the bulk of day-to-day collection and annotation. You'll work directly with the Research Operations Partner to scale FAIRI's in-house data function, and you'll set the technical and operational bar the rest of the Data Operations Engineering team is built around.
What You'll Do
Data Tooling & Infrastructure - 25%
  • Build and maintain hardware sensor suites - sensor harnesses, camera arrays, mounting fixtures, wearable sensor stacks (including soldering and cable assembly).
  • Write and maintain QA scripts for in-house and vendor data drops.
  • Build and maintain annotation software and other internal data tooling.
Data Collection & Annotation - 25%
  • Run motion capture, teleoperation, and human-subjects data collection sessions yourself - the fastest way to dogfood and stress-test tooling and protocols before handing them to the team.
  • Annotate robotics/AV datasets (object interaction, contact state, multi-agent) against FAIRI's evaluation framework.
  • Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above.

Team Management & Documentation - 25%
  • Manage and schedule data collection interns and contractors; own day-to-day throughput and quality.
  • Onboard and train interns/contractors on equipment, SOPs, and the informed-consent process.
  • Write and maintain SOPs and other supporting documentation for data collection, annotation, and lab operations.
  • Own first-level QC and escalation for intern/contractor output; flag protocol or safety issues.

Technical Demo Support - 25%
  • Learn the product stack and operate various robotic platforms to demonstrate FieldAI FFM (Field Foundation Model) capabilities.
  • Support demo planning and execution, coordinating with the Research Operations Partner
  • Help produce content showcasing FieldAI's ability to deploy robots on dull, dirty,

and dangerous jobs.
  • Troubleshoot hardware and software issues live during demos with important stakeholders.
What You Bring
You don't need every skill below, but you should bring real, hands-on depth in several of them:
  • Soldering and cable assembly
  • Motion capture systems (e.g., Vicon, OptiTrack, markerless/IMU)
  • Data annotation for robotics or autonomous vehicles
  • QA for hardware and/or software
  • 3D scanning and 3D printing
  • Data collection and human subjects research (IRB/consent familiarity a plus)
  • AR/VR development or production
  • Python, Java, or equivalent scripting
  • LIDAR
  • Robotics (platforms, sensors, or control)
  • Linux command line
  • Blender or Unity
  • Film/TV production

Beyond the toolkit:
  • Comfortable moving between hardware and software in the same day: genuinely hands-on, not hands-off.
  • High ownership: you can take an open-ended ask ("troubleshoot why this data had issues ") and run with it without much hand-holding.
  • Strong documentation habits: you leave SOPs and processes better than you found them.
What Sets You Apart
  • Background in film/TV production, game development, data operations, or another field where wearing every hat is normal
  • Interest in humanoid robotics and how machines learn from human movement
Why FAIRI
This role sits inside FAIRI's Research Operations function, supporting the Humanoid Program. It's built to grow: the Data Operations Engineering track is expected to scale from one person today to a small team over the next 12-18 months, and this hire is a leading candidate for Data Operations Engineering Lead as that team stands up.
$110,000 - $140,000 a year
Why Join Field AI?
FieldAI is tackling one of robotics' hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.
You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.
Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.
Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.
Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
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.