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Data Annotation Jobs in Massachusetts (NOW HIRING)

Telus Digital

$225K - $255K/yr

Our data annotation capabilities transform raw, ambiguous data into contextually enriched training assets through advanced labeling services covering image and video, audio, text, and 3D sensor ...

Welo Data

Data Labeling Associate

Boston, MA · On-site

$34/hr

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

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Data Annotation information

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$9

$27

$58

How much do data annotation jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for data annotation in Massachusetts is $27.07, according to ZipRecruiter salary data. Most workers in this role earn between $18.31 and $32.23 per hour, depending on experience, location, and employer.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What are the most commonly searched types of Data Annotation jobs in Massachusetts?

The most popular types of Data Annotation jobs in Massachusetts are:

What are popular job titles related to Data Annotation jobs in Massachusetts?

For Data Annotation jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Annotation jobs in Massachusetts look for?

The top searched job categories for Data Annotation jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Annotation jobs?

Cities in Massachusetts with the most Data Annotation job openings:

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Massachusetts as of September 2026, with employment types broken down into 54% Full Time, 32% Part Time, and 14% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $56,308 per year, or $27.1 per hour.

VP, Commercial - AI Data Solutions

On-site, Remote

Telus Digital
See more jobs at Telus Digitalexternal

$225K - $255K/yr

Full-time

Posted 25 days ago

TELUS Digital rating

7.3

Company rating: 7.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

127th of 226 rated it services

Job description

Who We Are
Welcome to TELUS Digital, where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada's largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Enterprise Technology, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are, all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Location & Flexibility
This role can operate remotely within the US (we are prioritizing candidates based on the US West Coast) OR be based out of one of our major US office locations - Charlottesville, VA, Durham, NC, Columbus, OH, or Boston, MA.
The Opportunity
TELUS Digital is seeking an enterprising Vice President of Commercial, AI Data Solutions, to own the commercial growth of our AI Data Training practice. This is a pure commercial leadership role responsible for acquiring, expanding, and retaining strategic relationships with the world's leading AGI and Generative AI builders. The VP will serve as the primary revenue driver and executive face of the business to clients.
Our service offerings span the breadth of what modern AI development demands. On the Generative AI side, we partner with clients to build human-aligned datasets for fine-tuning and evaluating large language models, supporting workflows including Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), red teaming, and bespoke dataset creation across more than 20 domains and 100 languages. For data collection, we leverage a global AI Community of over one million contributors to deliver fully managed, multimodal datasets spanning text, audio, video, image, geo, and 3D data at any scale and complexity. Our data annotation capabilities transform raw, ambiguous data into contextually enriched training assets through advanced labeling services covering image and video, audio, text, and 3D sensor fusion. We also provide rigorous data validation services, ensuring datasets are accurate, relevant, and production-ready through offerings such as search evaluation, ad evaluation, geo-location data verification, and machine translation quality assessment. Rounding out our portfolio, we offer a library of off-the-shelf datasets purpose-built for training and evaluating LLMs, computer vision models, and audio AI systems, providing clients with accessible, cost-effective solutions ready for immediate integration.
The VP, Commercial - AI Data Solutions, is accountable for the growth, retention, and strategic direction of TELUS Digital's AI Data Training client portfolio. The successful candidate will build trusted partnerships with leading AGI and GenAI companies, delivering the high-quality human feedback, data annotation, evaluation, and RLHF services that power next-generation AI systems.
Responsibilities
Revenue Growth & Account Expansion
  • Own year-over-year revenue growth across the AI Data Solutions client portfolio, setting and delivering against ambitious commercial targets.
  • Grow wallet share within existing accounts by transitioning clients from discrete data task engagements to comprehensive, long-term AI data partnerships.
  • Identify and pursue new business opportunities within existing client organizations, expanding across AI research, product, safety, and engineering business units.
  • Develop and execute account-level commercial strategies and roadmaps that drive measurable revenue outcomes and position TELUS Digital as a preferred AI data partner.
Strategic Client Relationship Management
  • Build and own trusted, consultative C-suite and senior leader relationships across client AI labs, foundation model teams, and GenAI product organizations.
  • Serve as the executive sponsor and primary point of escalation for strategic accounts, ensuring client confidence and long-term retention.
  • Actively shape the future direction of client AI programs, positioning TELUS Digital as a thought leader and strategic advisor, not just a service provider.
  • Negotiate commercial agreements, renewals, and expansions that reflect the value delivered and support long-term partnership growth.
Market Positioning & Commercial Strategy
  • Develop deep knowledge of the AGI and GenAI builder landscape, tracking competitive dynamics, emerging client needs, and new data training modalities to inform commercial strategy.
  • Partner with internal delivery, solutions, and marketing teams to shape compelling value propositions, proposals, and go-to-market narratives for the AI data services portfolio.
  • Represent TELUS Digital at industry forums, AI conferences, and client events to build brand presence and develop new commercial relationships.
  • Feed market intelligence back into the business to influence service development, pricing strategy, and competitive positioning.
Commercial Leadership & Financial Accountability
  • Own the commercial P&L for the AI Data Solutions portfolio, managing revenue forecasts, pipeline, and commercial budget aligned to corporate growth objectives.
  • Lead and develop a team of Client Success professionals accountable for client retention, growth, and escalation management.
  • Collaborate with finance and operations leadership to ensure commercial commitments are commercially sound and deliverable.

Competencies
  • Minimum 10 years in enterprise sales, account management, or client success roles, with 2-3 years at the VP level or equivalent in a commercially accountable capacity.
  • Direct experience selling to or partnering with AI labs, foundation model companies, or technology companies building AI-powered products is strongly preferred.
  • Demonstrated history of meeting or exceeding revenue targets and growing strategic enterprise accounts in a competitive outsourced or professional services environment.
  • Experience leading client-facing commercial teams, including hiring, coaching, and performance management of client success or account management professionals.
  • AI market fluency: credible understanding of the AGI and GenAI builder ecosystem, including how AI labs consume data training services, what drives their build vs. buy decisions, and the competitive landscape for AI data providers.
  • Enterprise sales & alliance management: proven track record of growing large, complex enterprise accounts moving from vendor to strategic partner through consultative selling, executive relationship development, and disciplined pipeline management.
  • Financial & commercial acumen: ability to own a commercial P&L, build revenue forecasts, structure deals, and make sound financial decisions that drive sustainable growth and protect margin.
  • Executive presence & communication: demonstrated ability to forge trusted relationships with C-suite and senior executives at global technology companies, inspiring confidence as a peer, not a vendor.
  • Global commercial leadership: ability to lead client success teams in a matrixed, international environment, motivating commercially focused professionals across geographies and time zones.
  • Agility in a fast-moving market: comfortable operating at AI speed, adapting commercial strategies quickly as client needs, competitive dynamics, and the broader AI landscape shift.

Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence, and performance without regard to any characteristic related to diversity.
We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.
For more information on how we use your information, see our Privacy Policy

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