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Ai Data Developer Jobs in Dedham, MA (NOW HIRING)

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

Mentor and upskill junior staff in data science, GenAI, LLMs, prompt engineering, RAG architectures, and responsible AI practices. Who you are The ideal candidate is a strategic, hands-on data ...

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA · On-site

$72K - $212K/yr

... an AI Data Scientist Senior Associate, you will leverage advanced analytics and statistical ... Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk ...

Ninjakitchen

AI & Data Analytics Opportunities

Needham, MA · On-site

$125 - $195/hr

AI at SharkNinja At SharkNinja, we're building an AI-native culture. We're not waiting for the ... Lead squads spanning ML Engineering, MLOps, Data Engineering, Analytics, and Business stakeholders ...

New

Datadog

Product Manager II, AI & Data Security

Boston, MA · On-site

$156K - $195K/yr

Datadog's AI & Data Security product helps customers discover, secure, and govern AI usage across ... You'll partner with engineering, design, security research, and GTM teams to define and ship ...

Purple Drive

Senior AI Full Stack Developer

Boston, MA · On-site

Develop data pipelines and AI workflows. * Deliver scalable, production-ready AI solutions. _____ Must-Have Skills 1. Azure AI Foundry & Azure OpenAI 2. RAG, Vector Databases, Prompt Engineering ...

Arbor

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

As AI data centers drive a surge in electricity demand, millions of homes and businesses remain ... The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ...

Worky

Engineer - GEN AI

Boston, MA · On-site

$148 - $184/hr

Collaborates with data scientists, software engineers, and other stakeholders to integrate AI capabilities into existing systems and workflows Required Qualifications * A bachelor's degree in ...

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All JobsAi Data Developer JobsAi Data Developer Jobs in Dedham, MA

Ai Data Developer information

See Dedham, MA salary details

$17

$58

$83

How much do ai data developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai data developer in Dedham, MA is $58.36, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $69.13 per hour, depending on experience, location, and employer.

What is the difference between Ai Data Developer vs Data Scientist?

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

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Ai Data Developer jobs near you

Technical Program Manager, AI Data

Lila Sciences

Cambridge, MA

$141K - $182K/yr

Full-time

Re-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.

Apply