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Remote Data Labelling Jobs in Framingham, MA (NOW HIRING)

HPC/AI Data Center Technician

MA · On-site +1

$60K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Cambridge HPC/AI Data Center Technician (HPC/AI DCT) is field-based specialist charged with ... remote client locations. * Cable and label all types of network cabling within the datacenter ...

Senior Manager, Data Security

Boston, MA · On-site +1

$124K - $170K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... labeling approaches * Experience designing and operating DLP controls across endpoints, network ...

Field Application Scientist

Boston, MA · Remote

$100K - $130K/yr

We are hiring a remote Field Application Scientist. This FAS will be responsible for providing pre ... Expertise in label-free technology Bio-Layer Interferometry or Surface Plasmon Resonance products ...

Field Application Scientist

Boston, MA · On-site +1

$100K - $130K/yr

We are hiring a remote Field Application Scientist. This FAS will be responsible for providing pre ... Expertise in label-free technology Bio-Layer Interferometry or Surface Plasmon Resonance products ...

Staff Security Engineer, GRC (Remote)

Boston, MA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Partner with Data, Engineering, and business stakeholders to ensure data governance shows up in meaningful places such as access patterns, role design, labels, masking, retention, and evidence paths.

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Showing results 1-20

Remote Data Labelling information

See Framingham, MA salary details

$47.3K

$169.7K

$250.5K

How much do remote data labelling jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote data labelling in Framingham, MA is $169,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,300.00 and $174,900.00 per year, depending on experience, location, and employer.

What is a remote data labelling?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

What are the key skills and qualifications needed to thrive in remote data labelling?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

What are some common challenges faced by remote data labelling professionals, and how can they be managed?

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

What job categories do people searching Remote Data Labelling jobs in Framingham, MA look for?

The top searched job categories for Remote Data Labelling jobs in Framingham, MA are:

What cities near Framingham, MA are hiring for Remote Data Labelling jobs?

Cities near Framingham, MA with the most Remote Data Labelling job openings:

Video Data Reviewer - Egocentric - AI Trainer

Mercor

Boston, MA • Remote

$20 - $25/hr

Full-time

Posted 2 days ago

New


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: AI Data Generalist — Egocentric Video Review
Type: Contract
Compensation: $20–$25/hour
Location: Remote
Duration: Approximately 2 weeks

Role Responsibilities

  • Review egocentric video data and complete structured quality-review tasks.
  • Evaluate action segments within videos for accurate start and end boundaries.
  • Adjust or flag incorrect boundaries following provided guidelines.
  • Maintain consistent judgment across a high volume of short action segments.
  • Complete assigned videos within the project timeline.

Qualifications

Must-Have

  • Excellent attention to detail and visual comprehension.
  • Ability to distinguish closely related actions and moments in video.
  • Comfort with structured, repetitive review work while maintaining accuracy.
  • Quick learning and consistent application of detailed annotation guidelines.
  • Strong written English communication skills.

Preferred

  • Experience with video annotation, data labeling, computer vision datasets, or egocentric video.

Start Date

  • Monday morning 17th August (PST)

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor