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Remote Ai Data Collection Jobs in Boston, MA (NOW HIRING)

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

Business Operations Research Analyst

Boston, MA · Remote

$107K - $126K/yr

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

New

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

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Remote Ai Data Collection information

See Boston, MA salary details

$17

$27

$34

How much do remote ai data collection jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote ai data collection in Boston, MA is $27.49, according to ZipRecruiter salary data. Most workers in this role earn between $25.34 and $28.22 per hour, depending on experience, location, and employer.

What skills and qualifications are needed for a remote AI data collection specialist?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What remote jobs can I do with AI?

Remote AI data collection jobs involve gathering and labeling data to train machine learning models, often requiring skills in data annotation, understanding of AI tools, and attention to detail. These roles can include image, text, or audio data labeling and are typically performed using specialized platforms or software, offering flexible schedules for qualified candidates.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are common challenges in a remote AI data collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

How to be a Remote AI Data Collection?

To work as a remote AI data collector, you should have strong attention to detail, good communication skills, and familiarity with data annotation tools or platforms. Many roles require basic computer skills and the ability to follow specific instructions, often with flexible schedules. Gaining experience in data labeling or annotation can improve your chances of securing such positions.
What are the most commonly searched types of Ai Data Collection jobs in Boston, MA? The most popular types of Ai Data Collection jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Ai Data Collection jobs? Cities near Boston, MA with the most Remote Ai Data Collection job openings:
Infographic showing various Remote Ai Data Collection job openings in Boston, MA as of August 2026, with employment types broken down into 61% Full Time, 21% Part Time, 3% Temporary, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $57,188 per year, or $27.5 per hour.

Principal Technical Lead Manager - AI Data Applications

Motional

Boston, MA • On-site, Remote

$240K - $330K/yr

Full-time

Re-posted 3 days ago


Job description

Mission Summary:

We are seeking an experienced and visionary Principal Technical Lead Manager to build and lead our new AI Data Application team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future!
You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements.

What You'll Be Doing:

  • Team Leadership & Management:
    • Build, lead, and manage a high-performing team of full stack web engineers.
    • Define team goals, priorities, and roadmap in alignment with company objectives.
    • Provide technical guidance, mentorship, and career development opportunities to team members.
  • Technical Strategy & Execution:
    • Define the technical vision and strategy for building services and web platforms for storing and searching metadata and forming datasets.
    • Define AI adoption strategy for frontend codebase and UX projects to speed up development and time to market.
    • Identify and evaluate cutting-edge technologies and methodologies for querying through datasets stored in various types of databases (think images in vector store, metadata in Postgres, etc) and APIs owned by several teams across the company.
  • Cross-functional Collaboration:
    • Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.
    • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.

What We're Looking For:

  • Experience:
    • BS or MS in Computer Science or related field
    • 8+ years of professional experience in building web applications
    • 3+ years of experience in a technical lead or management role
    • Extensive experience with building web applications for search and data curation needs.
    • Extensive experience with API and query federation technologies such as GraphQL or AWS Athena.
  • Technical Skills:
    • Strong programming skills in Typescript and Python.
    • Strong knowledge of modern frontend technologies such React.
    • Strong knowledge of building REST and gRPC based services, ideally in Python.
    • Prior experience with building web applications for engineering or machine learning needs

Bonus Points (not required):

  • Prior experience in autonomous vehicles (AV) is a plus.
  • Prior experience with Bazel based build systems.
  • Prior experience with developing frontend workflows using LLMs.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$240,000—$330,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.