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Part Time Ai Data Annotation Jobs in New York (NOW HIRING)

YO AI Labs

AI Finance Expert - Remote

New York, NY · Remote

$93K - $116K/yr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

New

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

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 ...

YO AI Labs

AI Consulting Expert - Remote

New York, NY · Remote

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

Posted today

micro1 AI

AI Trainer - Microbiology Expert

New York, NY · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Newark, NJ · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Yonkers, NY · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Stamford, CT · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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All JobsAi Data Annotation JobsPart Time Ai Data Annotation JobsPart Time Ai Data Annotation Jobs in New York

Part Time Ai Data Annotation information

What is the difference between Part Time Ai Data Annotation vs Data Labeler?

AspectPart Time Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Search IntentPart Time Ai Data Annotation vs Data Labeler

Part Time Ai Data Annotation involves labeling data specifically for training AI models, often requiring understanding of data types like images, text, or audio. Data Labelers perform similar tasks but may have broader roles in data categorization. Both roles are similar in credentials and work environment, primarily serving AI and tech industries. The main difference lies in terminology and specific job descriptions, but they often overlap in responsibilities and skills.

What are the key skills and qualifications needed to thrive as a part time AI data annotation specialist?

To thrive as a Part Time AI Data Annotation specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with annotation platforms, data labeling tools, and sometimes workflow management systems is important for efficiency. Strong organizational skills, reliability, and the ability to follow precise instructions make someone stand out in this position. These skills ensure high-quality, accurate labeled data, which is critical for training effective AI models.

What is a part time AI data annotation?

A Part Time AI Data Annotation job involves labeling, categorizing, or tagging data—such as images, text, or audio—to help train artificial intelligence and machine learning models. Annotators review raw data and apply guidelines to ensure AI systems learn to recognize patterns accurately. These roles are often flexible, can be done remotely, and require attention to detail and consistency. It's a great entry-level position for those interested in AI and technology, even without a technical background.

What are some common challenges faced by part-time AI data annotators, and how can they be managed?

Part-time AI data annotators often encounter challenges such as maintaining accuracy while working with repetitive tasks and managing time effectively alongside other commitments. Annotators may also face ambiguity in data or unclear labeling instructions. To address these challenges, it's important to ask clarifying questions, take regular breaks to maintain focus, and stay updated on annotation guidelines. Many teams provide support channels and regular training sessions to help annotators improve their skills and ensure consistency.
What are the most commonly searched types of Ai Data Annotation jobs in New York? The most popular types of Ai Data Annotation jobs in New York are:
What are popular job titles related to Part Time Ai Data Annotation jobs in New York? For Part Time Ai Data Annotation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Part Time Ai Data Annotation jobs in New York look for? The top searched job categories for Part Time Ai Data Annotation jobs in New York are:
What cities in New York are hiring for Part Time Ai Data Annotation jobs? Cities in New York with the most Part Time Ai Data Annotation job openings:
Part Time Ai Data Annotation jobs near you
Infographic showing various Part Time Ai Data Annotation job openings in New York as of August 2026, with employment types broken down into 100% Part Time. Highlights an 55% In-person, and 45% Remote job distribution.

AI Data Science Expert - Remote

YO AI Labs

New York, NY • Remote

Part-time

Posted yesterday

New

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.