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Remote Data Labelling Jobs in Manhattan, NY (NOW HIRING)

TSMG

AI/ML Data Contributor

New York, NY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

New York, NY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Mercor

Video Data Reviewer - Egocentric

New York, NY · Remote

$20 - $25/hr

Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

B Lab

Junior Data Engineer (New York, NY)

New York, NY · On-site +1

$62K - $83K/yr

While this is a remote-first opportunity, the candidate filling this role must be a resident of ... Improve data labelling and documentation for AI usage About You * A BA/BS in Computer Science ...

Rex USA

Entry Level AI Jobs in India

Manhattan, NY · Remote

$30 - $50/hr

You will improve training data quality by completing data labeling, RLHF preference ranking, prompt ... Work Details Remote, full-time work delivered through online tooling and written annotation ...

New

Rex USA

Entry Level AI Jobs in India

Manhattan, NY · Remote

$30 - $50/hr

You will improve training data quality by completing data labeling, RLHF preference ranking, prompt ... Work Details Remote, full-time work delivered through online tooling and written annotation ...

New

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All JobsData Labelling JobsRemote Data Labelling JobsRemote Data Labelling Jobs in Manhattan, NY

Remote Data Labelling information

See Manhattan, NY salary details

$50.8K

$182.1K

$268.7K

How much do remote data labelling jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data labelling in Manhattan, NY is $182,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,300.00 and $187,600.00 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.

How can I get started in remote data labeling?

To start as a remote data labeler, gain basic knowledge of data annotation tools and understand labeling guidelines for different data types such as images, audio, or text. Many companies require a reliable internet connection, attention to detail, and sometimes a test task to demonstrate accuracy. You can find entry-level positions on online job platforms and consider completing relevant online courses to improve your skills.

How much are remote data labelers paid?

Remote data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses for accuracy and efficiency.

What are popular job titles related to Remote Data Labelling jobs in Manhattan, NY?

For Remote Data Labelling jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Labelling jobs in Manhattan, NY look for?

The top searched job categories for Remote Data Labelling jobs in Manhattan, NY are:

What cities near Manhattan, NY are hiring for Remote Data Labelling jobs?

Cities near Manhattan, NY with the most Remote Data Labelling job openings:

Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Manhattan, NY as of July 2026, with employment types broken down into 74% Full Time, 17% Part Time, 2% Temporary, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $182,118 per year, or $87.6 per hour.

Remote STEM Engineer (India) AI/ML Data Operations

Manhattan, NY • Remote

Rex USA
See more jobs at Rex USAexternal

$30 - $50/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About The Role

Remote STEM Jobs in India at Rex.zone focus on applied engineering work that supports AI/ML training pipelines, including data labeling, RLHF evaluation, prompt evaluation, and QA evaluation for large language models. You will collaborate with globally distributed teams to produce high-quality training data and improve model performance across NLP, computer vision, and content safety labeling workflows.

Key Responsibilities

Design and execute annotation and evaluation workflows for NLP, computer vision, and multimodal tasks Implement RLHF and prompt evaluation protocols using well-defined rubrics and calibration Define and enforce annotation guidelines compliance; maintain edge‐case documentation Run QA evaluation audits, spot checks, inter‐annotator agreement analysis, and error taxonomy tracking Curate datasets for named entity recognition, classification, ranking, summarization, and safety policy adherence Use Python and data tooling to automate checks, sampling plans, reporting, and quality metrics Required Qualifications Mid‐senior STEM/engineering background (CS, EE, math, physics, statistics, or related) Strong Python skills; comfort with structured and unstructured data Practical understanding of LLM evaluation, data labeling, and QA evaluation concepts Experience with NLP tasks (e.g., NER, text classification, relevance ranking, summarization) Ability to interpret guidelines, resolve ambiguity, and communicate asynchronously in a remote setting Preferred Qualifications Experience with RLHF pipelines, preference ranking, or rubric‐based evaluation Familiarity with computer vision annotation (bounding boxes, polygons, segmentation) Experience building quality systems (sampling, audits, calibration sessions, disagreement resolution) Exposure to content safety labeling or trust & safety workflows Compensation Competitive hourly base pay: $30–$50 per hour How To Apply Visit Rex.zone and search for "Remote STEM Jobs in India" to find matching roles and apply. Highlight STEM engineering impact, Python/data tooling, and experience with data labeling, RLHF, LLM evaluation, training data quality, and annotation guidelines compliance.

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