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Perception Internship Jobs in Boston, MA (NOW HIRING)

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

Onboard and train interns/contractors on equipment, SOPs, and the informed-consent process. * Write ... Our Field Foundational Models™ advance perception, planning, localization, and manipulation with ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110 - $140/hr

Onboard and train interns/contractors on equipment, SOPs, and the informed-consent process. * Write ... Our Field Foundational Models advance perception, planning, localization, and manipulation with an ...

Amazon

Software Development Engineer II

Reading, MA · On-site

... perception, motion planning, controls, and application layers. - Work with multiple system ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 3+ ...

mmgoodwill

Textile Agent - Boston (part time)

Roxbury, MA · On-site

$16.25 - $21.75/hr

Works with Paid Participants and Paid Interns to ensure production standards are met. * Records and ... Specific vision abilities required by this job include depth perception, peripheral vision, the ...

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All JobsPerception JobsPerception Internship JobsPerception Internship Jobs in Boston, MA

Perception Internship information

See Boston, MA salary details

$7

$17

$25

How much do perception internship jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for perception internship in Boston, MA is $17.74, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.91 per hour, depending on experience, location, and employer.

What is a perception internship?

A Perception Internship is a temporary position, typically for students or recent graduates, focused on developing skills in computer vision, sensor data processing, and machine perception. Interns work on projects related to enabling machines or robots to interpret and understand their environment using cameras, LiDAR, radar, and other sensors. These internships are common in industries like autonomous vehicles, robotics, and artificial intelligence research, offering practical experience in areas such as deep learning, image processing, and sensor fusion. The role often involves collaborating with experienced engineers, contributing to real-world projects, and learning about the latest advancements in perception technology.

What types of projects or tasks does a perception intern typically work on during their internship?

Perception Interns often assist with real-world projects involving computer vision, sensor data analysis, and machine learning model development. They may work on tasks such as data labeling, algorithm prototyping, testing sensor systems, and collaborating with full-time engineers to improve perception pipelines for autonomous systems. Interns frequently participate in team meetings, code reviews, and research discussions, gaining exposure to both the technical and collaborative aspects of the field. This hands-on experience helps interns develop practical skills and gain insight into how perception technologies are developed and deployed in industry settings.

What are the key skills and qualifications needed to thrive as a perception intern, and why are they important?

To thrive as a Perception Intern, you generally need a background in computer science, robotics, or a related field, along with foundational knowledge of computer vision and machine learning principles. Familiarity with programming languages like Python or C++, and experience with libraries such as OpenCV, TensorFlow, or ROS, are often required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly are valuable soft skills in this role. These skills enable interns to effectively contribute to perception system development, ensuring accurate data interpretation and successful project outcomes.

What is the difference between Perception Internship vs Data Analyst Internship?

AspectPerception InternshipData Analyst Internship
Required CredentialsRelevant coursework, basic technical skillsStatistical, analytical, and technical skills
Work EnvironmentResearch labs, tech companies, or academic settingsBusiness, finance, or tech firms
Industry UsageFocus on perception, cognition, or sensory dataFocus on data analysis, reporting, and insights
Common Search IntentUnderstanding perception-related roles and internshipsFinding data analysis internship opportunities

Perception Internships typically involve research related to sensory perception, cognition, or experimental psychology, often in academic or research settings. Data Analyst Internships focus on analyzing data sets, creating reports, and deriving insights for businesses. While both roles require analytical skills, perception internships emphasize experimental and psychological understanding, whereas data analyst roles focus on data manipulation and business intelligence.

What are popular job titles related to Perception Internship jobs in Boston, MA?

For Perception Internship jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Perception Internship jobs in Boston, MA look for?

The top searched job categories for Perception Internship jobs in Boston, MA are:

What cities near Boston, MA are hiring for Perception Internship jobs?

Cities near Boston, MA with the most Perception Internship job openings:

Perception Internship jobs near you
Infographic showing various Perception Internship job openings in Boston, MA as of August 2026, with employment types broken down into 64% Full Time, 19% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $36,891 per year, or $17.7 per hour.

Senior Data Operations Engineer

FieldAI

Boston, MA

$110K - $140K/yr

Full-time

Re-posted 12 days ago

Key responsibilities

  • Build and maintain hardware sensor suites, including sensor harnesses, camera arrays, mounting fixtures, and wearable sensor stacks.

  • Run data collection sessions such as motion capture, teleoperation, and human-subjects data collection, and annotate robotics/AV datasets against FAIRI's evaluation framework.

  • Manage and schedule data collection interns and contractors, onboard and train them, and oversee quality control and protocol adherence.

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. You’ll work directly with the Research Operations Partner to scale FAIRI’s in-house data function, and you’ll set the technical and operational bar the rest of the Data Operations Engineering team is built around.

What You’ll DoData Tooling & Infrastructure — 25%

  • Build and maintain hardware sensor suites — 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 — 25%

  • Run motion capture, teleoperation, and human-subjects data collection sessions yourself — 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 FAIRI’s evaluation framework.

  • 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 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 — 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 FieldAI’s ability to deploy robots on dull, dirty,

and dangerous jobs.

  • Troubleshoot hardware and software issues live during demos with important stakeholders. 

What You Bring

You don’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 (“troubleshoot why this data had issues ”) 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 FAIRI’s Research Operations function, supporting the Humanoid Program. It’s built to grow: the Data Operations Engineering track is expected to scale from one person today to a small team over the next 12–18 months, and this hire is a leading candidate for Data Operations Engineering Lead as that team stands up.

Why Join Field AI?
FieldAI is tackling one of robotics’ 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 bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.
 
Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.
 
Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. 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 Irvine, 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.