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Data Labelling Jobs in Boston, MA (NOW HIRING)

AgZen

Senior Data Scientist

Somerville, MA · On-site

Define and implement scalable data quality measures across complex, multimodal data labeling pipelines * Contribute to an organization wide data ontology and class structure for perception models

Unchain Data

Forward-Deployed AI Data Engineer

Boston, MA · On-site

$124K - $149K/yr

The data exists. It's scattered, unlabeled, and structurally hostile to anything that assumes ... No schema, no labels, no consistent format -- and you didn't flinch. * Bias toward output. You care ...

Motional

Senior Engineer, ML Data Services

Boston, MA · On-site +1

$149K - $198K/yr

Design and implement Restful APIs and microservices for data labeling and annotations * Architect, build and maintain scalable data processing pipelines with cloud ETL technology to deliver datasets ...

Motional

Senior Engineer, ML Data Services

Boston, MA · On-site

$149K - $198K/yr

Design and implement Restful APIs and microservices for data labeling and annotations * Architect, build and maintain scalable data processing pipelines with cloud ETL technology to deliver datasets ...

Sigma Systems

Data Entry Operator

Boston, MA · On-site

Enters data for envelopes, labels, form letters and correspondence. * Formats and produce documents. Works with numbers (i.e., add, subtract, multiply and divide). * Detects and correct errors. Uses ...

Sigma Systems, Inc.

Data Entry Operator

Boston, MA · On-site

Enters data for envelopes, labels, form letters and correspondence. * Formats and produce documents. Works with numbers (i.e., add, subtract, multiply and divide). * Detects and correct errors. Uses ...

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All JobsData Labelling JobsData Labelling Jobs in Boston, MA

Data Labelling information

See Boston, MA salary details

$50K

$179.3K

$264.5K

How much do data labelling jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data labelling in Boston, MA is $179,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,000.00 and $184,700.00 per year, depending on experience, location, and employer.

What is a data labelling?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What are the typical daily responsibilities of a data labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

What are the key skills and qualifications needed to thrive in the data labelling position, and why are they important?

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools and understand the specific data types you'll work with, such as images, text, or audio. Building attention to detail and basic knowledge of machine learning concepts can improve your effectiveness; some roles may require basic computer skills or certifications. Entry-level positions often offer flexible schedules and remote work options.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform they work for. Some may earn higher rates with specialized skills or certifications, especially for complex data annotation tasks involving images, videos, or audio. Pay can vary based on whether the work is freelance, part-time, or full-time, and some roles offer project-based or hourly compensation.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help machine learning models learn and improve. These roles typically require attention to detail and familiarity with labeling tools or software, and they are often performed remotely with flexible schedules.

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

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

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

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

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

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

Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $179,276 per year, or $86.2 per hour.

Project Perseus | Data Quality Analyst - German Speakers (Human-in-the-Loop AI)

Boston, MA • On-site

Welocalize
Translation Services • 1 - 5K employees
Learn more about Welocalizeexternal

Full-time

Re-posted 14 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Welo Data is a company focused on delivering high-quality training data transformation solutions for AI applications. They are seeking a Data Quality Analyst to support quality and execution across Data Labeling Associates, ensuring that work meets defined standards while providing feedback and guidance to improve accuracy and consistency.
Responsibilities:
• Support quality and execution across DLA teams, ensuring work meets defined standards at scale
• Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
• Act as the first line of support for DLAs — answering questions and helping interpret guidelines
• Help DLAs navigate ambiguity and apply evolving instructions effectively
• Support onboarding and training of new DLAs through hands-on guidance and coaching
• Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
• Identify patterns, recurring issues, and edge cases in both human and model outputs
• Participate in calibrations, team discussions, and stakeholder syncs
• Contribute to improving guidelines, processes, and overall team performance
• Document findings and feedback in a clear, concise, and actionable way
Qualifications:
Required:
• Native-level language proficiency and a university degree (Bachelor’s or higher).
• B2 or superior level of English.
• 2–4 years of experience in data annotation, content quality, QA, or related fields.
• Strong ability to interpret and apply complex guidelines with consistency.
• Excellent attention to detail with a high bar for quality.
• Ability to stay consistent while working with evolving guidelines and priorities.
• Experience in AI/ML data workflows or human-in-the-loop evaluation environments.
• Prior experience auditing or reviewing the work of others.
• Familiarity with safety, compliance, or policy-driven content evaluation.
• Must be authorized to work in the U.S. (no visa sponsorship).
• This is a 100% onsite position — remote work is not available for this role.
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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