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Internship Online Data Annotation Jobs (NOW HIRING)

Senior Data Operations Engineer

Boston, MA ยท On-site

$110 - $140/hr

Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above. Team Management & Documentation -- 25% * Manage and schedule data collection interns and ...

New

Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above. Team Management & Documentation -- 25% * Manage and schedule data collection interns and ...

Senior Data Operations Engineer

Boston, MA ยท On-site

$110K - $140K/yr

Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above. Team Management & Documentation - 25% * Manage and schedule data collection interns and ...

Senior Data Operations Engineer

Boston, MA ยท On-site

$110 - $140/hr

Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above. Team Management & Documentation -- 25% * Manage and schedule data collection interns and ...

Data Support Internship Location: Remote Hours: Part-time Please note that this a remote ... Ability to hit preset frame annotation quota each week (estimation of ~10-15 hours of work per week)

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Internship Online Data Annotation information

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How much do internship online data annotation jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for internship online data annotation in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an internship online data annotation?

Internship Online Data Annotation positions are temporary roles, often held by students or recent graduates, where individuals label and categorize data such as images, text, or audio for use in machine learning and artificial intelligence projects. Interns work remotely or in-office to ensure data is accurately annotated according to project guidelines, helping to train and improve AI models. These internships provide hands-on experience in data management, attention to detail, and exposure to AI technologies. They are ideal for those interested in technology, data science, or AI fields, and can be a stepping stone to more advanced roles.

What are the key skills and qualifications needed to thrive as an internship online data annotation?

To thrive as an Internship Online Data Annotation, you generally need attention to detail, basic computer skills, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes Excel or similar spreadsheet software is typically required. Strong communication, reliability, and the ability to follow precise instructions make candidates stand out in this role. These skills ensure high-quality, accurate data labeling, which is vital for training reliable machine learning models.

What types of data and tools will I typically work with during an internship online data annotation?

As an Online Data Annotation intern, you'll commonly work with a variety of data types such as text, images, audio, or video, depending on the project's focus. You'll use specialized annotation platforms or software to label and categorize data accurately for use in machine learning models. Interns often collaborate with data scientists and engineers to understand project requirements and ensure high-quality outputs. Attention to detail and following precise guidelines are key challenges in this role, but you'll gain valuable exposure to real-world AI development workflows.

What is the difference between Internship Online Data Annotation vs Data Labeling Specialist?

AspectInternship Online Data AnnotationData Labeling Specialist
CredentialsTypically students or entry-level with basic computer skillsUsually requires experience or training in data labeling tools
Work EnvironmentRemote, flexible, often part-timeRemote or on-site, depending on employer
Industry UsageCommon in AI/ML projects, tech companiesUsed in AI, autonomous vehicles, healthcare, and more

Internship Online Data Annotation roles are often entry-level, focusing on training and learning, while Data Labeling Specialists are more experienced, handling complex labeling tasks. Both roles are essential in AI development but differ in experience requirements and scope.

Can I work for internship online data annotation with no experience?

Internship online data annotation roles often do not require prior experience, as training is typically provided to help new workers learn annotation tools and standards. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. However, some positions may prefer or require familiarity with specific data types or annotation software.

Does data annotation really pay you?

Data annotation jobs, including online data annotation internships, typically pay hourly or per task rates, with earnings varying based on the platform, complexity of tasks, and experience. While some positions offer competitive pay, others may provide lower wages, and payment is usually processed through online payment systems like PayPal or direct deposit. It is important to verify the payment terms before starting any data annotation work.
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Infographic showing various Internship Online Data Annotation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Senior Data Operations Engineer

Medium

Boston, MA โ€ข On-site

$110 - $140/hr

Other

Posted 2 days ago

New


Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.

About the Role

Field AI is transforming how robots interact with the real world. Our R&D team, the FieldAI Research Institute (FAIRI), is based in Cambridge, MA, where we build risk-aware, field-ready AI systems that unlock general purpose intelligence for robotics.

FAIRI is looking for a Senior Data Operations Engineer to run the day-to-day of our data operations function: building the tooling the pipeline runs on, staying hands-on enough to dogfood and stress-test that tooling yourself, and managing the interns and contractors who carry out the bulk of day-to-day collection and annotation. Youโ€™ll work directly with the Research Operations Partner to scale FAIRIโ€™s in-house data function, and youโ€™ll set the technical and operational bar the rest of the Data Operations Engineering team is built around.

What Youโ€™ll Do Data Tooling & Infrastructure โ€” 25%
  • Build and maintain hardware sensor suites โ€” sensor harnesses, camera arrays, mounting fixtures, wearable sensor stacks (including soldering and cable assembly).

  • Write and maintain QA scripts for in-house and vendor data drops.

  • Build and maintain annotation software and other internal data tooling.

Data Collection & Annotation โ€” 25%
  • Run motion capture, teleoperation, and human-subjects data collection sessions yourself โ€” the fastest way to dogfood and stress-test tooling and protocols before handing them to the team.

  • Annotate robotics/AV datasets (object interaction, contact state, multi-agent) against FAIRIโ€™s evaluation framework.

  • Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above.

Team Management & Documentation โ€” 25%
  • Manage and schedule data collection interns and contractors; own day-to-day throughput and quality.

  • Onboard and train interns/contractors on equipment, SOPs, and the informed-consent process.

  • Write and maintain SOPs and other supporting documentation for data collection, annotation, and lab operations.

  • Own first-level QC and escalation for intern/contractor output; flag protocol or safety issues.

Technical Demo Support โ€” 25%
  • Learn the product stack and operate various robotic platforms to demonstrate FieldAI FFM (Field Foundation Model) capabilities.

  • Support demo planning and execution, coordinating with the Research Operations Partner

  • Help produce content showcasing FieldAIโ€™s ability to deploy robots on dull, dirty,

and dangerous jobs.

  • Troubleshoot hardware and software issues live during demos with important stakeholder

What You Bring

You donโ€™t need every skill below, but you should bring real, hands-on depth in several of them:

  • Soldering and cable assembly

  • Motion capture systems (e.g., Vicon, OptiTrack, markerless/IMU)

  • Data annotation for robotics or autonomous vehicles

  • QA for hardware and/or software

  • 3D scanning and 3D printing

  • Data collection and human subjects research (IRB/consent familiarity a plus)

  • AR/VR development or production

  • Python, Java, or equivalent scripting

  • LIDAR

  • Robotics (platforms, sensors, or control)

  • Linux command line

  • Blender or Unity

  • Film/TV production

Beyond the toolkit
  • Comfortable moving between hardware and software in the same day: genuinely hands-on, not hands-off.

  • High ownership: you can take an open-ended ask (โ€œtroubleshoot why this data had issues โ€) and run with it without much hand-holding.

  • Strong documentation habits: you leave SOPs and processes better than you found them.

What Sets You Apart
  • Background in film/TV production, game development, data operations, or another field where wearing every hat is normal

  • Interest in humanoid robotics and how machines learn from human movement

Why FAIRI

This role sits inside FAIRIโ€™s Research Operations function, supporting the Humanoid Program. Itโ€™s built to grow: the Data Operations Engineering track is expected to scale from one person today to a small team over the next 12โ€“18 months, and this hire is a leading candidate for Data Operations Engineering Lead as that team stands up.

$110,000 - $140,000 a year

Why Join Field AI?

FieldAI is tackling one of roboticsโ€™ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.

You will work alongside a world-class team that values creativity, resilience, and bold thinking. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.

We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.

Equal Opportunity

FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

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