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Remote Data Labelling Jobs in New York (NOW HIRING)

Lytehaus Group

Software Engineering Intern

New York, NY · On-site +1

New York City (remote-friendly; WeWork office access available) Type: Internship, paid -- full-time ... Data pipeline work: capturing, structuring, and labeling behavioral signals from live episodes

Mercor

Senior Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Mercor

AI Researcher

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Mercor

Subject Matter Expert

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

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Remote Data Labelling information

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

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 is a Remote Data Labelling job?

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 most commonly searched types of Data Labelling jobs in New York? The most popular types of Data Labelling jobs in New York are:
What are popular job titles related to Remote Data Labelling jobs in New York? For Remote Data Labelling jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Data Labelling jobs in New York look for? The top searched job categories for Remote Data Labelling jobs in New York are:
What cities in New York are hiring for Remote Data Labelling jobs? Cities in New York with the most Remote Data Labelling job openings:
Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in New York as of July 2026, with employment types broken down into 55% Full Time, 24% Part Time, and 21% Contract. Highlights an 100% Remote job distribution.
Risk Management Specialist - Fully Remote | Upto $1450 Part-time

Risk Management Specialist - Fully Remote | Upto $1450 Part-time

Mercor

New York, NY • Remote

$1.1K - $1.4K/wk

Part-time

Re-posted 18 days ago

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: Regulatory Compliance & Risk Management Expert
Type: Contract
Compensation: $1,150–$1,450 per completed task
Location: Remote

Role Responsibilities

  • Review and evaluate AI-generated outputs related to regulatory requirements and compliance program assessments.
  • Create realistic scenarios based on compliance and risk workflows such as regulatory examinations and internal audit findings.
  • Annotate, label, and validate data across compliance use cases like control testing and regulatory change management.
  • Provide structured feedback on AI accuracy in areas like regulatory standards (FINRA, OCC, FFIEC, FDA, SEC, GDPR, HIPAA) and risk frameworks (COSO, ISO 31000).
  • Collaborate asynchronously with research teams to refine evaluation frameworks for compliance and risk AI.

Qualifications

Must-Have

  • 3+ years of professional experience in compliance, risk management, or regulatory affairs.
  • Background in compliance program management, enterprise risk management, or regulatory affairs.
  • Strong analytical thinking and ability to translate regulatory workflows into structured evaluation tasks.
  • Clear written communication and attention to detail.

Preferred

  • Professional certifications such as CRCM, CAMS, CIA, CRMA, CHC, CCEP, CPA.

Compensation & Legal

  • Task Completion Pay: Competitive and based on task quality.
  • Performance Bonus: Weekly bonus incentive for top performers.
  • Hourly Opportunity: Potential transition to hourly model for sustained quality.

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.