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Data Annotation Program Manager Jobs in Massachusetts

Technical Program Manager, AI Data

Cambridge, MA ยท On-site +1

$141K - $182K/yr

We're looking for a Senior or Principal Technical Program Manager to join our AI Research team to drive multiple AI data generation and curation workstreams - standing up new project teams, keeping ...

$125K - $145K/yr

Support SAOC Data and Record Management, especially at the Branch level * Prepare and maintain minutes for technical meetings and conferences, as required * Provide Program Management support to the ...

$125K - $130K/yr

... Data Requirements Lists (CDRLs), and Request for Proposal (RFP) development. * Evaluate program ... Support risk management activities including risk identification, assessment, mitigation planning ...

Program Manager, People Analytics The Program Manager, People Analytics will focus on managing ... This role will require analyzing and interpreting data using various analytical and visualization ...

New

Program Manager

Boston, MA ยท On-site

$53K - $77K/yr

Translate evaluation data into actionable recommendations for program enhancement * Contribute to ... Manage program application processes, participant communications, and Admissions Committee ...

Translate evaluation data into actionable recommendations for program enhancement * Contribute to ... Manage program application processes, participant communications, and Admissions Committee ...

Program Manager

Worcester, MA ยท On-site

$60K - $70K/yr

Participates in trainings and meets with other Program Managers and the AVP monthly to review and analyze data/metrics/reports to establish and ensure teams are hitting benchmarks and goals, and to ...

Program Manager AcuityMD is a software and data platform that accelerates access to medical technologies. Each year, the FDA approves ~6,000 new medical devices. Our platform helps MedTech companies ...

The ideal candidate will have a proven track record of leading complex transformation programs ... Experience in Wealth Management, Financial Planning, Salesforce implementations, and data migration ...

Program Manager

Boston, MA ยท Remote

$90K - $130K/yr

Experience gathering and cleaning data, analyzing large datasets, and presenting results/insights to a non-technically savvy audience. * Commercial Comfort: Comfort with engaging in sales and ...

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Showing results 1-20

Data Annotation Program Manager information

What are the key skills and qualifications needed to thrive as a Data Annotation Program Manager, and why are they important?

To thrive as a Data Annotation Program Manager, you need expertise in project management, data quality assessment, and a solid understanding of machine learning or data annotation processes, typically supported by a relevant degree. Familiarity with annotation platforms, workflow management tools, and data labeling software is essential, along with knowledge of quality assurance frameworks. Strong leadership, problem-solving abilities, and effective communication are crucial soft skills that help manage diverse teams and ensure stakeholder alignment. These skills are important to maintain high data quality, meet project deadlines, and drive successful AI model training initiatives.

How does a Data Annotation Program Manager coordinate with cross-functional teams to ensure project success?

A Data Annotation Program Manager regularly collaborates with engineering, data science, and quality assurance teams to align annotation guidelines, project timelines, and quality standards. They often facilitate meetings to clarify requirements, resolve ambiguities in data labeling, and provide feedback on annotation accuracy. This role serves as a bridge between technical teams and annotation staff, ensuring open communication and timely resolution of challenges, which is critical for delivering high-quality datasets essential for machine learning and AI projects.

What are Data Annotation Program Managers?

Data Annotation Program Managers are professionals who oversee and coordinate data labeling projects, ensuring that data used for machine learning and artificial intelligence is accurately tagged and prepared. They manage teams of annotators, set project guidelines, monitor quality, and ensure deadlines are met. Their role is crucial for building high-quality datasets that enable reliable AI model training. Program Managers often collaborate with data scientists, engineers, and stakeholders to define requirements and improve annotation processes.
What are popular job titles related to Data Annotation Program Manager jobs in Massachusetts? For Data Annotation Program Manager jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Annotation Program Manager jobs in Massachusetts look for? The top searched job categories for Data Annotation Program Manager jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Annotation Program Manager jobs? Cities in Massachusetts with the most Data Annotation Program Manager job openings:

Technical Program Manager, AI Data

Lila Sciences

Cambridge, MA โ€ข On-site, Remote

$141K - $182K/yr

Other

Posted 3 days ago


Job description

Your Impact at LILA

Lila is building toward scientific superintelligence, which depends on a steady supply of high-quality, purpose-built AI data. We're looking for a Senior or Principal Technical Program Manager to join our AI Research team to drive multiple AI data generation and curation workstreams - standing up new project teams, keeping them on schedule, and incorporating that data into the model training pipeline.

You don't need to be an ML researcher, but you must be genuinely curious about how AI data fuels model development and able to clearly articulate what your programs will deliver. The successful candidate thrives in ambiguity, communicates exceptionally well across audiences, and knows how to build clarity and momentum on a fast-paced, rapidly scaling team.

What You'll Be Building

  • Launch and operate cross-functional project teams that produce AI data for scientific superintelligence, ensuring each team executes with at high velocity and delivers standardized outputs the model training team can directly consume.
  • Serve as the key communication interface between project teams and the research, science, and model training organizations; set up the organizational information flows that allow this communication to happen with speed at scale.
  • Drive accountability across distributed, cross-functional teams without relying on direct authority; build consensus through clear communication and sound judgment.
  • Define and enforce data delivery standards, QA gates, and handoff protocols so model training receives consistent, high-quality inputs across all active project teams.
  • Implement best practices for rapid experimentation and iteration, enabling new project teams to ramp efficiently as additional data initiatives come online.
  • Develop clear documentation and reporting to communicate vision, track progress, and align project team work with broader AI Research priorities; represent program status and risks accurately even when the picture is uncertain or evolving.

What You'll Need to Succeed

  • Bachelor's or Master's degree in Computer Science, Engineering, Life Sciences, or a related field.
  • 8+ years of program or project management experience in the technology or life sciences field.
  • Proven experience leading cross-functional programs and driving them to successful completion under tight delivery timelines.
  • Strong analytical and problem-solving skills, with the ability to turn technical and data requirements into actionable program roadmaps.
  • Exceptional written and verbal communication skills; track record of producing executive-quality documents, roadmaps, and updates that drive decisions.

Bonus Points For

  • Direct experience in AI/ML research or product organizations, ideally in a program management or research operations capacity.
  • Working familiarity with model training data pipelines, dataset curation, or ML evaluation workflows - sufficient to engage credibly with researchers and ask good questions.
  • Experience managing programs that produce standardized outputs for downstream technical consumers (e.g., model training, eval, or platform teams).
  • Enthusiastic about emerging technologies and experienced in driving rapid experimentation and program iteration.