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Annotation Labelling Jobs in Massachusetts (NOW HIRING)

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Annotation Labelling information

What are the key skills and qualifications needed to thrive as an Annotation Labelling Specialist, and why are they important?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by Annotation Labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

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

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What are popular job titles related to Annotation Labelling jobs in Massachusetts? For Annotation Labelling jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Annotation Labelling jobs in Massachusetts look for? The top searched job categories for Annotation Labelling jobs in Massachusetts are:
What cities in Massachusetts are hiring for Annotation Labelling jobs? Cities in Massachusetts with the most Annotation Labelling job openings:

Senior Director, Client Accounts - AI Data Solutions

TELUS Digital

Boston, MA • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


TELUS Digital rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

90th of 203 rated it services


Job description

Who We AreWelcome 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 & FlexibilityThis 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 OpportunityAs Senior Director, Client Accounts for our AI Digital Solutions practice, you will lead a high-performing team of Client Account Partners aligned to some of the most influential technology firms in the world. You will be both a people leader and a hands-on client executive, setting the strategic direction for your team while personally owning and deepening relationships within a portfolio of marquee accounts.This role sits at the intersection of artificial intelligence, data operations, and client success, requiring a strong understanding of the full AI data lifecycle from initial collection and annotation through to validation, fine-tuning, and model evaluation.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 ideal candidate will bring both technical fluency and a client-facing mindset, with the ability to translate complex data requirements into scalable, high-quality solutions that drive measurable outcomes for AI development initiatives.ResponsibilitiesTeam Leadership & DevelopmentLead, mentor, and develop a team of Client Account Partners focused on industry-leading technology firms, while fostering a culture of accountability, curiosity, and client-first thinking.Set clear performance expectations and support each team member in building and executing account strategies that drive retention, expansion, and net-new revenue.Coach the team on Data-specific solutioning (data collection, data annotation, and data validation), consultative selling, and executive engagement, ensuring they can credibly advise clients on labeling workflows, quality frameworks, and AI training best practices.Conduct regular account reviews, pipeline assessments, and deal coaching sessions to maintain forecast accuracy and identify risks or growth opportunities across the portfolio.Client Account EngagementServe as a senior client account executive and strategic point of escalation for the team's highest-priority and most complex client relationships.Build and maintain trusted relationships with AI, data science, product, and operations leaders across your portfolio of industry-leading technology firms.Lead executive business reviews and strategic planning sessions that align TELUS Digital's capabilities to each client's evolving AI roadmap and data needs.Personally drive retention, expansion, and new workstream growth within a defined set of named accounts, demonstrating the same consultative approach expected of your team.Act as the voice of the client internally, surfacing insights that influence delivery execution, product development, tooling priorities, and research investments.Data & AI Expertise & SolutioningDevelop and maintain deep expertise across TELUS Digital's Data for Generative AI, Data Collection, Data Annotation, Data Validation, and Off-the-Shelf Datasets capabilities, including text, image, video, audio, and sensor data labeling, as well as generative AI data services, agentic AI workflows, and responsible AI practices.Guide clients in designing scalable, high-quality data programs that meet the demands of their model training and fine-tuning objectives.Partner closely with Solutions Architecture and Delivery teams to develop technically credible, customized proposals that address each client's unique data pipeline requirements.Stay ahead of industry trends in AI training data, including emerging labeling methodologies, quality assurance approaches, and the evolving regulatory landscape surrounding responsible AI, and ensure your team is equally well-informed.Strategy, Forecasting & OperationsDevelop and execute a comprehensive growth strategy for the Client Accounts team, balancing near-term revenue targets with long-term partnership development.Maintain rigorous pipeline hygiene, forecast accuracy, and account health reporting using Salesforce.Collaborate cross-functionally with Delivery, Solutions Architecture, Finance, and Legal teams to ensure seamless client experiences and commercially sound agreements.Contribute to practice-level initiatives, including go-to-market strategy, capability messaging, and thought leadership for the AI Digital Solutions business.CompetenciesLeadership & Account Management10+ years of F500 client account management and account building experience, with at least 3+ years in a Commercial people leadership role overseeing account teams.3+ years of sales experience in Data Collection, Annotation, and Validation professional services.A demonstrated track record of building, coaching, and scaling high-performing teams in a complex, technical services environment.Proven ability to manage and grow a portfolio of large, strategic accounts with multiple stakeholders across business units and seniority levels.Experience leading executive-level engagements, business reviews, and long-cycle renewals and expansions.Data & AI KnowledgeDeep familiarity with data collection, annotation, and validation services, workflows, and quality frameworks across modalities, including text, image, video, audio, and sensor data.Strong understanding of how training data supports AI and ML model development, fine-tuning, and evaluation, and the ability to translate that knowledge into client-relevant solutions.Comfort discussing generative AI, agentic AI pipelines, and responsible AI principles with both technical and business audiences.Experience working with or selling to AI-forward technology companies is strongly preferred.Skills & CompetenciesExceptional executive presence and presentation communication skills, with the ability to engage credibly at the C-suite level and inspire confidence within your team.A consultative, client-first approach, curious, solutions-oriented, and committed to understanding each client's business before proposing a path forward.Proficiency with enterprise sales and account management tools.Equal Opportunity EmployerAt 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.Compensation Range: $168K - $210KJ-18808-Ljbffr


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