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Data Labelling Jobs in Boston, MA (NOW HIRING)

General Motors

Senior AI/ML Engineer

Boston, MA · On-site +1

$113K - $155K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

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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 Jun 12, 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 job?

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.

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 June 2026, with employment types broken down into 79% Full Time, 16% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $179,276 per year, or $86.2 per hour.
Project Perseus | Data Labeling Associate - Spanish Speakers (Human-in-the-Loop AI)

Project Perseus | Data Labeling Associate - Spanish Speakers (Human-in-the-Loop AI)

Welo Data

Boston, MA • On-site

Full-time

Posted 7 days ago

Job description

Job Summary:
Welo Data is looking for detail-oriented individuals to join their team as Data Labeling Associates. In this role, you will work directly with AI systems to evaluate outputs, identify gaps, and contribute to improving their behavior in real-world scenarios.
Responsibilities:
• Evaluate AI model outputs and provide structured, high-quality feedback
• Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
• Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
• Contribute to improving evaluation frameworks, not just executing them
• Identify trends in model performance and communicate insights clearly
• Participate in team discussions, calibrations, and stakeholder syncs
• Partner with leads and cross-functional teams to refine quality standards
• Document findings 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
• 1–2 years of professional writing experience with strong, structured writing skills
• Ability to apply complex writing rules and guidelines consistently
• Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
• Strong critical thinking and attention to detail
• Ability to make sound judgment calls in ambiguous situations
• Naturally curious about AI, technology, and how systems behave
• Comfortable speaking up, asking questions, and contributing ideas
• Strong written and verbal communication skills
• Ability to stay consistent while working with evolving guidelines
• 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
• Candidates must be located in or able to commute to one of the specified cities
Preferred:
• Experience in data quality, QA, annotation, or analysis is helpful — but not required
Company:
With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.

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