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Remote Data Annotation Jobs in Cambridge, MA (NOW HIRING)

General Motors

Senior AI/ML Engineer

Boston, MA · On-site +1

$113.50K - $155.90K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... data-annotation pipelines and machine-led training data solutions at foundation-model scale . We ...

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Remote Data Annotation information

What is a Remote Data Annotation job?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

What are the key skills and qualifications needed to thrive in the Remote Data Annotation position, and why are they important?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What are the typical daily tasks for someone working in Remote Data Annotation?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.
More about Remote Data Annotation jobs
What are the most commonly searched types of Data Annotation jobs in Cambridge, MA? The most popular types of Data Annotation jobs in Cambridge, MA are:
What job categories do people searching Remote Data Annotation jobs in Cambridge, MA look for? The top searched job categories for Remote Data Annotation jobs in Cambridge, MA are:
What cities near Cambridge, MA are hiring for Remote Data Annotation jobs? Cities near Cambridge, MA with the most Remote Data Annotation job openings:
Remote Data Annotation jobs near you
Infographic showing various Remote Data Annotation job openings in Cambridge, MA as of May 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 40% Hybrid, and 60% Remote job distribution.
Remote Finance AI Quality Analyst & Modeling Expert

Remote Finance AI Quality Analyst & Modeling Expert

Data Annotation

Framingham, MA • Remote

$50 - $60/hr

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Annotation is seeking finance professionals to join their team in Framingham, Massachusetts, for a remote role focused on AI training. You will review AI Assistant outputs related to financial topics and provide structured feedback to enhance its reasoning capabilities. Candidates should have a Master's or PhD in finance or related areas, strong financial reasoning skills, and be detail-oriented.

This position offers flexibility to work part-time or full-time on projects that pay between USD $50-$60 per hour, plus bonuses based on quality work. #J-18808-Ljbffr

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