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

YO AI Labs

AI Data Scientist - Remote

Manhattan, NY · On-site

$100 - $125/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Annotate data and support quality assurance initiatives for AI training. * Interpret complex ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

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Data Annotation Ai Trainer information

What is a data annotation AI trainer?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What does a data annotation AI trainer do?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

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

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Salaries can range from entry-level rates to higher wages for specialized skills or advanced tools proficiency.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by tech companies and data labeling firms. However, job seekers should verify the employer's credibility to avoid scams.

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Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai Trainer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Radiochemistry/Nuclear Chemistry AI Training Specialist

BAM Ventures

Manhattan, NY • On-site

$80 - $100/hr

Other

Posted 6 days ago

Job description

Job Overview

As a Radiochemistry/Nuclear Chemistry AI Training Specialist at Rise Data Labs, you will play a crucial role in training and enhancing AI models specific to radiochemistry and nuclear chemistry domains. You will utilize your expertise to ensure high-quality data annotation and validation for machine learning applications, contributing to the advancement of AI technologies in scientific fields.

Key Responsibilities
  • Train AI models by annotating and labeling data related to radiochemistry and nuclear chemistry.
  • Review and validate AI-generated content for accuracy, ensuring that it meets domain-specific standards.
  • Provide expert insights and recommendations to enhance AI model performance in radiochemistry applications.
  • Collaborate on various AI training projects across different scientific fields, ensuring high-quality data outputs.
  • Maintain meticulous documentation of processes and findings to support ongoing improvements in data quality.
Required Skills and Qualifications
  • Bachelor's or Master's degree in Radiochemistry, Nuclear Chemistry, Chemistry, or a related field.
  • Proven experience in data annotation, AI training, or machine learning.
  • Strong attention to detail and a commitment to quality assurance in data handling.
  • Excellent analytical and problem‑solving skills.
  • Proficiency in using data annotation tools and platforms.
Preferred Qualifications
  • Familiarity with machine learning concepts and AI model training processes.
  • Experience working on interdisciplinary projects involving AI and scientific data.
  • Strong communication skills and the ability to work collaboratively in a team environment.
What We Offer

At Rise Data Labs, we provide a dynamic work environment that fosters growth and innovation. Our team enjoys competitive compensation, opportunities for professional development, and the chance to work on cutting‑edge AI projects that make a difference in various sectors.

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About BAM Ventures

Sourced by ZipRecruiter

Industry

Investment clubs and venture capital companies

Company size

1 - 10 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2014

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