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

Sereact GmbH

Teleoperation Engineer

Boston, MA · On-site

$60 - $90/hr

... data collection standards, and act as the critical bridge between project management and the ... Background in data annotation, quality assurance, or structured data collection pipelines

Sereact GmbH

Teleoperation Engineer

Boston, MA · On-site

$60K - $90K/yr

... data collection standards, and act as the critical bridge between project management and the ... Background in data annotation, quality assurance, or structured data collection pipelines

Sereact GmbH

Teleoperation Trainer

Boston, MA · On-site

... data collection standards, and act as the critical bridge between project management and the ... Background in data annotation, quality assurance, or structured data collection pipelines

Motional

Principal Technical Lead Manager

Boston, MA · On-site +1

$176K - $242K/yr

Motional is seeking a Principal Technical Lead Manager for its Web Visualization Tooling team. This ... Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to ...

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All JobsData Annotation JobsData Annotation Manager JobsData Annotation Manager Jobs in Boston, MA

Data Annotation Manager information

See Boston, MA salary details

$33.7K

$105.5K

$186.9K

How much do data annotation manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data annotation manager in Boston, MA is $105,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,700.00 and $136,300.00 per year, depending on experience, location, and employer.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

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

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

What are some common challenges faced by data annotation managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Boston, MA?

The most popular types of Data Annotation jobs in Boston, MA are:

What are popular job titles related to Data Annotation Manager jobs in Boston, MA?

For Data Annotation Manager jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Data Annotation Manager jobs in Boston, MA look for?

The top searched job categories for Data Annotation Manager jobs in Boston, MA are:

What cities near Boston, MA are hiring for Data Annotation Manager jobs?

Cities near Boston, MA with the most Data Annotation Manager job openings:

Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $105,538 per year, or $50.7 per hour.

Teleoperation Engineer

Sereact GmbH

Boston, MA • On-site

$60 - $90/hr

Other

Posted 15 days ago

Job description

We are looking for a Teleoperation Engineer to sit at the intersection of our operations and engineering teams. In this role, you will train and manage the quality of a team of teleoperation operators, establish and maintain data collection standards, and act as the critical bridge between project management and the technical teams developing our teleoperation and policy systems. You will maintain direct teleoperation proficiency and translate operational insight into actionable engineering feedback, and vice versa. This role starts hands on and grows in scope and ownership as we scale.

Your Responsibilities Teleoperation

  • Spend significant hands-on time operating our robotic systems directly. Active teleoperation is a core, ongoing part of this role, not an occasional task

  • Maintain direct proficiency across robotic systems and teleoperation interfaces (VR, joystick, or control rigs)

  • Set the standard for task execution and demonstration quality through your own operation

Training and Quality Management

  • Onboard and train new teleoperation operators, establishing consistent standards for task execution, data quality, and reporting

  • Monitor and evaluate operator performance and demonstration data quality across active projects

  • Establish and improve QA processes, and maintain oversight of data custody, tracking, reporting, and issue investigation

  • Develop and maintain SOPs, training materials, and quality frameworks for teleoperation workflows

  • Build and maintain the operational systems, trackers, reporting cadences, and documentation the function runs on

  • Maintain accurate logs of training outcomes, data quality metrics, and cross team feedback

Cross Team Coordination

  • Act as the primary bridge between the operations team and the engineering team (teleoperation and policy development), surfacing operator feedback, flagging systematic issues, and translating engineering guidance into practical operator instructions

  • Identify patterns in operator errors, edge cases, and system inconsistencies, and **escalate** them with structured, actionable context

  • Support engineering teams in improving data collection pipelines and interfaces based on operational insight

Qualifications Education and Experience

  • 2+ years of professional experience in training, QA, or a technical environment

  • Completed or in progress technical degree highly preferred (Engineering, Computer Science, Data Science, etc)

  • Exposure to teleoperation or VR based gaming and control systems is a big plus

  • Background in a structured, process oriented, or fast paced operational setting

Skills

  • Strong communication and documentation skills with the ability to convey technical concepts across technical and non technical audiences

  • Proven ability to assess quality rigorously and coach others toward consistency

  • Comfortable working with digital tools, interfaces, and data driven workflows

  • Basic technical understanding sufficient to engage productively with engineering teams

Nice to Have

  • Direct experience with teleoperation systems, simulation environments, or robotics platforms

  • Familiarity with imitation learning or how demonstration data is used in robot policy training

  • Experience in competitive gaming, esports, or precision controller based tasks; strong spatial awareness and input consistency are directly applicable

  • Background in data annotation, quality assurance, or structured data collection pipelines

  • Experience with VR systems or immersive digital environments

  • Experience in a startup environment

What We Offer

  • Wellpass (gym membership)

  • Flexible working hours

  • Option to work from home when needed

  • A motivated team and an open corporate culture

  • Competitive compensation and excellent career development opportunities

Compensation & Benefits

Base salary range: USD $60,000-90,000 (actual pay based on skills, experience, and

location)

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