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Ai Labelling Jobs in New York (NOW HIRING)

AI Engineer

Manhattan, NY · On-site

$170 - $200/hr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to ... Work closely with CV engineers on training pipelines, labeling workflows, and model deployment ...

New

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 ...

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 ...

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 ...

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 ...

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 ...

Built a labeling rubric, ontology, or ground-truth spec that a large annotation org executed against in production. * Worked directly with research scientists at frontier AI labs or autonomy ...

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 ...

... Applied AI Engineer to automate and improve MLOps pipelines for their AI sensing platform ... label, version, and feed production data back into model improvement • Partner with the ...

... AI Engineer to automate and optimize MLOps pipelines for their AI sensing platform, which ... label, version, and feed production data back into model improvement • Partner with the ...

Lead AI/ML Engineer

Manhattan, NY · On-site

$100 - $140/hr

... first AI/ML hires, you'll have the unique opportunity to: * Work on groundbreaking projects ... or human labels to constantly and iteratively refine and improve prompts and output * Build and ...

New

Build the data flywheel: pipelines that collect, label, version, and feed production data back into ... Real-time voice AI pipelines (STT, TTS, streaming LLM) * Production RAG systems beyond toy ...

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Ai Labelling information

What is an AI labelling?

An AI labelling job involves annotating data—such as images, text, audio, or video—to help train machine learning models. This process includes tasks like tagging objects in images, transcribing speech, or categorizing text. The labelled data is crucial for AI systems to learn and make accurate predictions. These jobs are commonly found in industries like tech, healthcare, and autonomous driving. Attention to detail and consistency are key skills for this role.

What are the key skills and qualifications needed to thrive in AI labelling?

To thrive in an AI Labelling role, you need attention to detail, basic data analysis skills, and the ability to follow complex guidelines, with many roles requiring at least a high school diploma or equivalent. Familiarity with data annotation tools, image or text labeling platforms, and sometimes basic scripting or database systems is beneficial. Strong communication, time management, and the ability to work both independently and as part of a team are valuable soft skills. These competencies ensure the consistent and accurate labeling of data, which is critical for training high-quality AI and machine learning models.

What are some typical challenges faced in AI labelling roles and how can they be managed?

One common challenge in AI Labelling roles is maintaining accuracy and consistency when labeling large volumes of data according to detailed guidelines, which can become repetitive or mentally taxing. Managing these challenges often involves taking regular breaks, double-checking work, and staying up-to-date with any updates to annotation standards provided by the team. Collaborating with supervisors and peers to clarify uncertainties and seek feedback also helps ensure high-quality output. Over time, professionals in this role often develop efficient workflows and a keen eye for detail, opening doors to advancement into quality assurance or project coordination positions within the data annotation field.

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

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

What cities in New York are hiring for Ai Labelling jobs?

Cities in New York with the most Ai Labelling job openings:

Infographic showing various Ai Labelling job openings in New York as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution.

Medical AI Data Labeling Expert

BAM Ventures

Manhattan, NY • On-site

$70 - $90/hr

Other

Posted 2 days ago

New


Job description

Join our team as a Medical AI Data Labeling Expert to help train cutting-edge AI systems for healthcare applications. You will work with medical imagery and patient data to create high-quality training datasets.

Key Responsibilities
  • Label medical images and diagnostic data
  • Ensure data quality and consistency
  • Collaborate with medical professionals for validation
  • Follow strict privacy and compliance guidelines
  • Contribute to dataset documentation
Requirements
  • Medical degree (MD) or advanced healthcare qualification
  • Experience with medical imaging (CT, MRI, X-ray)
  • Understanding of medical AI applications
  • Attention to detail and accuracy
  • HIPAA compliance knowledge
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BAM Ventures logo

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