ZipRecruiter

Log In

1

Ai Labelling Jobs in Boston, MA (NOW HIRING)

WHOOP

Senior AI/ML Engineer (AI Platform)

Boston, MA · On-site

$113K - $155K/yr

They are seeking a Senior AI/ML Engineer to scale the intelligence layer behind WHOOP's AI-powered ... labels, and taxonomies that reflect real member needs. • Develop tooling and frameworks that make ...

WHOOP

Senior Machine Learning Engineer, AI Platform

Boston, MA · On-site

$133K - $175K/yr

Responsibilities : • Design, build, and operate production AI systems and scaffolding around ... labels, and taxonomies that reflect real member needs. • Develop tooling and frameworks that make ...

Xometry

Mechanical Engineer, AI Integration

Waltham, MA · Hybrid

$82K - $97K/yr

Multimodal Data Processing: Assist in creating, reviewing, and structured-labeling datasets from 2D technical drawings, PDFs, and purchase orders so the AI can learn to extract engineering data ...

Xometry

Mechanical Engineer, AI Integration

Waltham, MA · On-site

$82K - $97K/yr

Multimodal Data Processing: Assist in creating, reviewing, and structured-labeling datasets from 2D technical drawings, PDFs, and purchase orders so the AI can learn to extract engineering data ...

next page

Showing results 1-20

All JobsAi Labelling JobsAi Labelling Jobs in Boston, MA

Ai Labelling information

See Boston, MA salary details

$14

$59

$79

How much do ai labelling jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for ai labelling in Boston, MA is $59.13, according to ZipRecruiter salary data. Most workers in this role earn between $51.44 and $70.53 per hour, depending on experience, location, and employer.

What are some typical challenges faced in AI labelling roles and how can they be managed?

One common challenge in AI Labelling roles is maintaining accuracy and consistency when labeling large volumes of data according to detailed guidelines, which can become repetitive or mentally taxing. Managing these challenges often involves taking regular breaks, double-checking work, and staying up-to-date with any updates to annotation standards provided by the team. Collaborating with supervisors and peers to clarify uncertainties and seek feedback also helps ensure high-quality output. Over time, professionals in this role often develop efficient workflows and a keen eye for detail, opening doors to advancement into quality assurance or project coordination positions within the data annotation field.

What is an AI labelling?

An AI labelling job involves annotating data—such as images, text, audio, or video—to help train machine learning models. This process includes tasks like tagging objects in images, transcribing speech, or categorizing text. The labelled data is crucial for AI systems to learn and make accurate predictions. These jobs are commonly found in industries like tech, healthcare, and autonomous driving. Attention to detail and consistency are key skills for this role.

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

To thrive in an AI Labelling role, you need attention to detail, basic data analysis skills, and the ability to follow complex guidelines, with many roles requiring at least a high school diploma or equivalent. Familiarity with data annotation tools, image or text labeling platforms, and sometimes basic scripting or database systems is beneficial. Strong communication, time management, and the ability to work both independently and as part of a team are valuable soft skills. These competencies ensure the consistent and accurate labeling of data, which is critical for training high-quality AI and machine learning models.

What are popular job titles related to Ai Labelling jobs in Boston, MA? For Ai Labelling jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Ai Labelling jobs in Boston, MA look for? The top searched job categories for Ai Labelling jobs in Boston, MA are:
What cities near Boston, MA are hiring for Ai Labelling jobs? Cities near Boston, MA with the most Ai Labelling job openings:
Ai Labelling jobs near you
Infographic showing various Ai Labelling job openings in Boston, MA as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $122,985 per year, or $59.1 per hour.

Ophthalmologist (Medical Data Labeling Specialist)

Saviance

Boston, MA • On-site

Other

Re-posted 15 days ago

Job description

Ophthalmologist (Medical Data Labeling Specialist)

Location: India, Remote

Duration: Ongoing Part-Time

About BigRio

BigRio is a Boston-based, remote-first technology consulting firm specializing in advanced data and software solutions. We partner with forward-thinking organizations to deliver scalable, cost-effective, and innovative technology, with particular expertise in AI/ML, data engineering, and cloud-native applications. Our clients span healthcare, life sciences, government, and enterprise sectors, and we are known for our ability to tackle complex challenges with cutting-edge solutions.

About Job:

This role leverages the clinical expertise of an ophthalmologist to accurately annotate and label medical data, primarily images and structured clinical data related to eye health, for the development and refinement of artificial intelligence (AI) and machine learning (ML) models in ophthalmology.

Responsibilities

Key responsibilities include:

  • Data Annotation: Reviewing and annotating various ophthalmic data like fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
  • Adherence to Protocols: Applying standardized grading protocols consistently for accurate and consistent labeling.
  • Quality Control & Feedback: Participating in calibration sessions and reviews to maintain annotation consistency.
  • Collaboration: Working with AI engineers and data scientists to ensure the clinical validity of guidelines.
  • AI Model Validation: Validating AI model outputs for clinical accuracy and safety.
  • Patient Education Material Development (potential): Possibly creating or reviewing materials for AI/ML algorithms to provide accurate patient education.
  • Privacy and Security: Ensuring compliance with patient privacy and data security policies, like HIPAA.

Qualifications

Essential qualifications typically include:

  • Ophthalmologist (MBBS) with at least 1-2 years of clinical experience.
  • Extensive Clinical Knowledge: In-depth understanding of various eye conditions.
  • Experience in Clinical Data Review: Familiarity with medical record documentation.
  • Attention to Detail: Commitment to accurate annotation.
  • Communication Skills: Excellent communication skills, both written and verbal, in English.
  • Teamwork: Ability to collaborate effectively with a multidisciplinary team.

Required skills often include:

  • Medical Image Annotation: Proficiency in using annotation tools to delineate structures and pathologies
  • Data Interpretation and Assessment: Skill in interpreting data related to medical products and AI model performance.
  • Problem Solving: Ability to identify challenges and recommend solutions.
  • Adaptability: Ability to adapt to varying image resolutions and file formats.

This role offers a unique opportunity to contribute to the development of AI tools that can improve eye health and patient care on a wider scale.

Saviance logo

About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

Social media

FacebookTwitter

View All Saviance Jobs

Apply