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Senior Data Annotation Analyst Jobs in Massachusetts

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110K - $140K/yr

Build and maintain annotation software and other internal data tooling. Data Collection ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

Build and maintain annotation software and other internal data tooling. Data Collection ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110K - $140K/yr

Build and maintain annotation software and other internal data tooling. Data Collection ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Forward Financing

Senior Data Analyst

Boston, MA

$114K - $144K/yr

Senior Data Analyst We are seeking a Senior Data Analyst to join our team. As a Senior Data Analyst on our Business Intelligence team, you will leverage internal data and a modern data stack to ...

Massgeneralbrigham

HDS Senior Data Analyst

Somerville, MA

$93K - $118K/yr

Job Summary The Senior Data Analyst, within the Mass General Brigham Enterprise Analytics (EA) Department, providing dedicated analytical support to Health Data Solutions (HDS), is responsible for ...

Mass General Brigham

HDS Senior Data Analyst

Somerville, MA · On-site

$93K - $118K/yr

Job Summary The Senior Data Analyst, within the Mass General Brigham Enterprise Analytics (EA) Department, providing dedicated analytical support to Health Data Solutions (HDS), is responsible for ...

Purple Carrot

Senior Data Analyst

Dedham, MA · Hybrid

$95K - $115K/yr

Description We are looking for a Senior Data Analyst to join our mission-driven team. As an integral part of the Data department, you will join forces with the Sr. Manager, Data and Analytics (to ...

Purple Carrot

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

Description We are looking for a Senior Data Analyst to join our mission-driven team. As an integral part of the Data department, you will join forces with the Sr. Manager, Data and Analytics (to ...

Purple Carrot

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

Description We are looking for a Senior Data Analyst to join our mission-driven team. As an integral part of the Data department, you will join forces with the Sr. Manager, Data and Analytics (to ...

Motion Recruitment

Senior Data Analyst

Woburn, MA · On-site

$91K - $115K/yr

Full-time opportunity for a Senior Data Analyst at a robotics startup revolutionizing tire changing and wheel balancing through advanced automation, robotics, and AI. The company combines cutting ...

Tive

Senior Data Analyst

Boston, MA · On-site

$110K - $140K/yr

As a Senior Data Analyst at Tive, you will use your considerable experience to help lead Tive into its next phase of growth. One of Tive's primary focus areas for the next few years is on delivering ...

Constant Contact

Senior Data Analyst

Waltham, MA · On-site

$92K - $117K/yr

We're seeking a proactive and strategically minded Senior Analyst to join our Data & Analytics team. In this high-impact role, you will serve as a data partner to the organization, leveraging ...

Constant Contact

Senior Data Analyst

Waltham, MA · On-site

$92K - $117K/yr

We're seeking a proactive and strategically minded Senior Analyst to join our Data & Analytics team. In this high-impact role, you will serve as a data partner to the organization, leveraging ...

Point32health

Sr Data Analyst

Canton, MA · On-site

$90K - $114K/yr

Job Summary Under the supervision of a Manager for Reporting and Analytics, Government Programs, the Senior Data Analyst leads critical data submission activities for the Risk Adjustment Department ...

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Senior Data Annotation Analyst information

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

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

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

What are the most commonly searched types of Data Annotation Analyst jobs in Massachusetts? The most popular types of Data Annotation Analyst jobs in Massachusetts are:
What cities in Massachusetts are hiring for Senior Data Annotation Analyst jobs? Cities in Massachusetts with the most Senior Data Annotation Analyst job openings:
Senior Data Annotation Analyst jobs near you

Senior Data Operations Engineer

FieldAI

Boston, MA • On-site

$110K - $140K/yr

Full-time

Posted 14 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.
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