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Data Annotation Jobs in Stamford, CT (NOW HIRING)

Latent

Clinical Informatics Specialist

New York, NY · On-site

$75K - $100K/yr

The Clinical Specialist will play a critical role in data generation, annotation, and evaluation to improve Latent's AI models, while also serving as a clinical subject matter expert (SME) to inform ...

Mercor

Video Data Reviewer - Egocentric

New York, NY · Remote

$20 - $25/hr

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)

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All JobsData Annotation JobsData Annotation Jobs in Stamford, CT

Data Annotation information

See Stamford, CT salary details

$9

$27

$58

How much do data annotation jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data annotation in Stamford, CT is $27.43, according to ZipRecruiter salary data. Most workers in this role earn between $18.55 and $32.66 per hour, depending on experience, location, and employer.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

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

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What job categories do people searching Data Annotation jobs in Stamford, CT look for?

The top searched job categories for Data Annotation jobs in Stamford, CT are:

What cities near Stamford, CT are hiring for Data Annotation jobs?

Cities near Stamford, CT with the most Data Annotation job openings:

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Stamford, CT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $57,044 per year, or $27.4 per hour.

Record Your Daily Routine & Get Paid - AI Training (Remote)

Mindrift - Data annotation

New York, NY • Remote

$10/hr

Part-time

Re-posted 2 days ago

Job description

This is a project-based opportunity on an AI training platform - not a job. No fixed hours, no commitment beyond what fits your schedule. You record, you get paid.

About the Role

We're looking for people to record point-of-view videos of everyday household activities. You mount your smartphone on your head, go about your routine, and the camera captures exactly what you see. These videos help train AI systems and robots to understand how people interact with objects in real-world environments.
Do you wash dishes every day? Vacuum the rug? Walk the dog? Fold laundry? What if you could get paid just for recording it?

Responsibilities

  • Record everyday household activities from a first-person perspective - cooking, cleaning, tidying up, folding laundry, gardening, walking the dog, and more
  • Record in your own home, yard, garage, or workspace
  • Follow short recording guidelines per session
  • Upload videos through the project app

Requirements

  • Equipment: Own or use a smartphone or alternative camera device capable of 30 FPS or greater and 1080p resolution or greater. iPhone 12 or newer, Google Pixel 6+, or Samsung Galaxy S21+ (must have a wide-angle / 0.5x lens)
  • Capture method: Mount the device at forehead or eye-level for an egocentric perspective, maintaining a downward angle to maximize hand visibility.
  • Software: Utilize the designated "D&A" application for all data capture and upload.
  • Quality control: Ensure all video footage is clear, stable, well-lit, at least 15 seconds long, and accurately depicts useful, intentional tasks without unnecessary pauses or contrived movements.

Why is this freelance opportunity a great fit for you?

Earn while you do your household chores: up to $10 per hour equivalent depending on the project

This is project-based freelance work - pick up recording sessions when they fit your schedule

Influence the future of how AI and robots understand and interact with the real world

Apply