AI Data Engineers

Jenn Nguyen and Friends; New York (NY); Remote; USD 170,000 - 222,000; Full time

Job summary

A leading startup is seeking AI Data Engineers to tackle pressing issues in AI data sourcing. Candidates will work remotely, addressing challenges with unstructured data and contributing to an innovative platform. Competitive compensation and equity offered for a role focused on driving impactful AI solutions.

Benefits

Competitive Equity

Remote-first environment

Autonomy on projects

Qualifications

• 5+ years of experience in data engineering, ideally in startup environments.
• Fluency with Python and/or Java in production-grade systems.
• Experience with modern data infrastructure and orchestration tools.

Responsibilities

• Architect and implement scalable, automatable data pipelines.
• Optimize storage and retrieval layers to reduce costs and boost performance.
• Collaborate with a highly effective engineering team to drive product impact.

Skills

Data Engineering

Python

Java

Big Data

Data Privacy

Healthcare Compliance

Job description

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Compensation: $170,000 - $222,000 + competitive equity

Location: Remote (US-based only) | Visa sponsorship not available

Hiring timeline: ASAP | Hiring 3 engineers

Who Are We?

Were a fast-growing startup tackling one of the most critical and underserved problems in AI: access to high-quality training data. In industries like healthcare and media, the process of sourcing and preparing data is complex, expensive, and often unreliable. Our platform enables the secure, efficient, and privacy-centric exchange of training data, helping some of the worlds most ambitious AI companies build smarter models, faster.

With a small but mighty team (18 and counting), recent funding, and a sharp focus on impact, were building the infrastructure that could define the future of AI.

What's In It for You?

A front-row seat at one of the most strategically important problems in AI

Meaningful equity and competitive compensation

The chance to work on technically rich challenges involving unstructured data (PDFs, videos, medical imaging, and more)

Autonomy to lead projects from vague requirements to structured outcomes

Remote-first environment with highly motivated teammates from diverse backgrounds

What Will You Do?

Architect and implement scalable, automatable data pipelines with strong emphasis on validation, transformation, and compliance

Optimize storage and retrieval layers to reduce cost and boost performance across the platform

Extract, process, and transform unique data types think clinical notes, video metadata, diagnostic imaging

Collaborate with a small but highly effective engineering team to scale infrastructure and deliver product impact

Work cross-functionally to support AI and product use cases in healthcare and media

What Will You Need?

5+ years of experience in data engineering, ideally including startup environments

Fluency with Python and/or Java in production-grade systems

Experience with modern data infrastructure, orchestration tools, and working with big data in real-world environments

Comfort working independently on projects with limited specability to define and execute end-to-end

Bonus: experience with data privacy, healthcare compliance (HIPAA, etc.), or media data pipelines

Were looking for curious minds who think beyond the stack and care deeply about building data infrastructure that fuels the next wave of AI.

Interested? Apply now or reach out to learn more.

AI Data Engineers

Compensation: $170,000 - $222,000 + competitive equity

Location: Remote (US-based only) | Visa sponsorship not available

Hiring timeline: ASAP | Hiring 3 engineers

Who Are We?

Were a fast-growing startup tackling one of the most critical and underserved problems in AI: access to high-quality training data. In industries like healthcare and media, the process of sourcing and preparing data is complex, expensive, and often unreliable. Our platform enables the secure, efficient, and privacy-centric exchange of training data, helping some of the worlds most ambitious AI companies build smarter models, faster.

With a small but mighty team (18 and counting), recent funding, and a sharp focus on impact, were building the infrastructure that could define the future of AI.

What's In It for You?

A front-row seat at one of the most strategically important problems in AI

Meaningful equity and competitive compensation

The chance to work on technically rich challenges involving unstructured data (PDFs, videos, medical imaging, and more)

Autonomy to lead projects from vague requirements to structured outcomes

Remote-first environment with highly motivated teammates from diverse backgrounds

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Civil Engineering

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