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Weekend Ai Data Annotation Jobs in New York (NOW HIRING)

Mercor

Data Annotator

New York, NY · Remote

$50/hr

Experience with large-scale AI data annotation or evaluation programs. * Background in QA, operations, trust & safety, or structured review work. * Familiarity with multi-step rubric-based ...

Mercor

AI Researcher

New York, NY · Remote

$70 - $100/hr

Prior experience with data annotation, labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks. Application ...

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 · On-site

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

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 · On-site

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 ...

TSMG

AI/ML Data Contributor

New York, NY · On-site

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

Content Reviewer - AI Trainer

New York, NY · Remote

$50/hr

Experience with large-scale AI data annotation or evaluation programs. * Background in QA, operations, trust & safety, or structured review work. * Familiarity with multi-step rubric-based ...

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$50 - $70/hr

... data annotation, data quality, or evaluation systems. Master's Degree or PhD Why Join Us Competitive pay and flexible remote work. Collaborate with a team working on cutting‐edge AI projects.

Mercor

AI Research Scientist - GenAI

New York, NY · Remote

$70 - $100/hr

Prior experience with data annotation, labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks. Application ...

Infotree Global Solutions

Data Engineer-AI/ML

Manhattan, NY · On-site

$126.20K - $151.60K/yr

Experience at developing linguistic annotation projects (e.g. Machine Translation, ASR ... Develop data extraction, annotation, auditing pipeline to improve MT data annotation efficiency and ...

Alignerr

Senior Machine Learning Engineer

Manhattan, NY · Remote

$60 - $80/hr

Senior Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we ... Prior experience with data annotation, data quality, or evaluation systems. * Top-tier Kaggle ...

Alignerr

Biology Masters

Manhattan, NY · Remote

$35 - $55/hr

Biology Masters - AI Data Trainer Type: Hourly Contract Compensation: $35-$55 per hour Location ... Preferred Experience Experience with data annotation, data quality, or evaluation systems. Benefits ...

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Weekend Ai Data Annotation information

What are the key skills and qualifications needed to thrive as a Weekend AI Data Annotation Specialist, and why are they important?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.

What are some common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

What are Weekend AI Data Annotators?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.
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Weekend Ai Data Annotation jobs near you

Data Annotator

Mercor

New York, NY • Remote

$50/hr

Full-time

Posted 14 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: Generalist
Type: Contract
Compensation: $50/hour
Location: Remote

Role Responsibilities

  • Review, evaluate, and annotate AI outputs with extreme attention to detail.
  • Follow complex guidelines precisely and apply them consistently across tasks.
  • Identify subtle errors, edge cases, and quality issues others might miss.
  • Provide clear, structured feedback to improve downstream AI training quality.
  • Maintain high accuracy across repetitive, high-volume workflows.
  • Flag unclear instructions or ambiguous cases proactively.

Qualifications

Must-Have

  • Exceptionally detail-oriented and quality-obsessed mindset.
  • Prior experience as a CB / reviewer / rater in human data or AI training pipelines.
  • Proven ability to follow nuanced instructions without deviation.
  • Strong written communication and reasoning skills.
  • High reliability, consistency, and comfort with repetitive precision work.
  • Ability to work independently and maintain focus over long task batches.

Preferred

  • Experience with large-scale AI data annotation or evaluation programs.
  • Background in QA, operations, trust & safety, or structured review work.
  • Familiarity with multi-step rubric-based evaluations.
  • Comfort giving calibrated feedback aligned with strict quality bars.

Compensation & Legal

  • Hourly contractor
  • Paid weekly via Stripe Connect

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/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.