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Assistant Ai Labeling Jobs in New York (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 ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

TSMG

AI/ML Data Contributor

New York, NY · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

TSMG

AI/ML Data Contributor

New York, NY · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

TSMG

AI/ML Data Contributor

New York, NY

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

TSMG

AI/ML Data Contributor

New York, NY · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

TSMG

AI/ML Data Contributor

New York, NY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Influur

AI Engineer

New York, NY · On-site +1

$150K - $200K/yr

... record labels, artists, and brands go viral (think Bad Bunny), with our tech, support, and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Influur

AI Engineer

New York, NY · On-site

$150K - $200K/yr

A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Newcode.ai

Senior RAG Engineer

New York, NY · Remote

$134K - $176K/yr

How many queries, who labelled them, which metrics you trust, and a change you shipped or killed ... You've worked with AI coding assistants and have a view on where they help and where they don't. If ...

Newcode.ai

Senior RAG Engineer

New York, NY · On-site

$134K - $176K/yr

How many queries, who labelled them, which metrics you trust, and a change you shipped or killed ... You've worked with AI coding assistants and have a view on where they help and where they don't. If ...

Newcode.ai

Senior RAG Engineer

New York, NY · On-site

$134K - $176K/yr

How many queries, who labelled them, which metrics you trust, and a change you shipped or killed ... You've worked with AI coding assistants and have a view on where they help and where they don't. If ...

Nautica

Assistant Designer

Manhattan, NY · On-site

$57K/yr

... and private label business requirements. This role provides the opportunity to contribute ... AI-Assisted Design Tools Awareness and Application What you get: If eligible, we offer a ...

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Assistant Ai Labeling information

What is an assistant AI labeling?

Assistant AI Labeling jobs involve reviewing, tagging, and categorizing data such as images, text, or audio to help train artificial intelligence and machine learning models. These roles are essential because accurate labeling ensures that AI systems can learn to recognize patterns and make decisions effectively. Tasks may include drawing bounding boxes around objects in images, transcribing spoken words, or classifying text according to given guidelines. The work is often done using specialized software and requires attention to detail as well as consistency. Assistant AI Labelers may work remotely or in-house for tech companies, research organizations, or data annotation firms.

What are the key skills and qualifications needed to thrive as an assistant AI labeling?

To thrive as an Assistant AI Labeling Specialist, you need strong attention to detail, accuracy, and an understanding of data annotation practices, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic knowledge of programming languages like Python is beneficial. Dependability, time management, and the ability to follow complex instructions are crucial soft skills for excelling in this role. These skills ensure high-quality labeled data, which is vital for training accurate and reliable AI models.

What are some common challenges faced by assistant AI labeling professionals, and how can they be addressed?

Assistant AI Labeling professionals often encounter challenges such as maintaining consistency and accuracy when labeling large volumes of data, especially with ambiguous or subjective cases. To address these challenges, most teams implement clear annotation guidelines, regular training sessions, and peer review processes to ensure high-quality outputs. Collaboration with data scientists and project managers is also key, as open communication helps clarify uncertainties and align labeling practices with project goals. Embracing feedback and staying flexible as guidelines evolve can further enhance both the quality of work and job satisfaction in this role.

What is the difference between Assistant Ai Labeling vs Data Annotator?

AspectAssistant Ai LabelingData Annotator
CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentRemote or office-based; collaborative with AI teamsPrimarily remote; focused on data labeling tasks
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and analytics
Search & Comparison IntentUnderstanding roles supporting AI trainingData labeling and annotation tasks for AI models

Assistant Ai Labeling involves supporting AI systems by labeling data, often requiring some technical understanding. Data Annotator focuses on labeling data to prepare datasets for AI training. Both roles are essential in AI development, with overlapping skills but different focus areas.

What are the most commonly searched types of Ai Labeling jobs in New York?

The most popular types of Ai Labeling jobs in New York are:

What are popular job titles related to Assistant Ai Labeling jobs in New York?

For Assistant Ai Labeling jobs in New York, the most frequently searched job titles are:

What job categories do people searching Assistant Ai Labeling jobs in New York look for?

The top searched job categories for Assistant Ai Labeling jobs in New York are:

What cities in New York are hiring for Assistant Ai Labeling jobs?

Cities in New York with the most Assistant Ai Labeling job openings:

Assistant Ai Labeling jobs near you

AI/ML Data Contributor

New York, NY • Remote

TSMG
See more jobs at TSMGexternal

Full-time

Re-posted 7 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • 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 ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.