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Video Annotation Jobs in New York (NOW HIRING)

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Video Annotation information

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$28.4K

$65.4K

$103.9K

How much do video annotation jobs pay per year?

As of Sep 13, 2026, the average yearly pay for video annotation in New York is $65,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $76,000.00 per year, depending on experience, location, and employer.

What is a video annotation?

A Video Annotation job involves labeling objects, activities, or events within videos to help train machine learning models. Annotators use specialized tools to draw bounding boxes, segment frames, or classify scenes to improve AI's ability to recognize visuals. This work is essential for applications like autonomous vehicles, facial recognition, and action recognition in AI systems.

What are the typical daily responsibilities of a video annotation specialist?

As a Video Annotation specialist, your daily tasks will generally involve watching video footage, identifying relevant objects or actions, and accurately labeling or tagging frames according to specific project guidelines. You may also review and validate annotations to ensure quality and consistency, collaborate with team members or project managers to clarify labeling instructions, and document any ambiguities or challenges encountered during annotation. Most roles are structured with clear targets or quotas for completed work, and you may work independently or as part of a larger team supporting AI development projects. The position requires strong concentration and the ability to handle repetitive tasks efficiently while maintaining high standards of accuracy.

What are the key skills and qualifications needed to thrive in the video annotation position, and why are they important?

To excel in Video Annotation, you need strong attention to detail, visual analysis skills, and familiarity with video processing concepts, often supported by a diploma or coursework in computer science or a related field. Knowledge of annotation tools such as CVAT, Labelbox, or VGG Image Annotator, and, in some cases, experience with basic scripting or data management platforms, is highly valued. Excellent focus, time management, and the ability to follow precise instructions help individuals stand out in this position. These abilities are crucial for ensuring the accuracy and quality of annotated video data, which directly impacts AI and machine learning model performance.

What are the most commonly searched types of Video Annotation jobs in New York?

The most popular types of Video Annotation jobs in New York are:

What are popular job titles related to Video Annotation jobs in New York?

For Video Annotation jobs in New York, the most frequently searched job titles are:

What job categories do people searching Video Annotation jobs in New York look for?

The top searched job categories for Video Annotation jobs in New York are:

Video Annotation jobs near you
Infographic showing various Video Annotation job openings in New York as of September 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $65,410 per year, or $31.4 per hour.

Product Manager - Enterprise Data

Manhattan, NY • On-site

Bloomberg L.P.
Finance and Insurance • 10K+ employees
Learn more about Bloomberg L.P.external

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Product Manager - Enterprise Data

Location

New York

Business Area

Product

Ref #

10052218

Description & Requirements

Enterprise Data at Bloomberg provides machine-readable feeds of news and other unstructured content, as well as AI-powered analytics, including sentiment and more. Text is at the core of what we do today, with audio, imagery, and video increasingly in scope. Our client base includes major hedge funds, asset managers, and investment banks, typically using our feeds and analytics for low latency and intraday trading, market making, quantitative investing, and risk.

What's the role?

We're looking for a charismatic Product Manager to join a growing team of technologists to help drive and execute on product development across our unstructured datasets. You'll bring with you a few years working in a financial or technology firm in the machine learning/quantitative trading domain, along with some programming and data management skills. You'll work alongside seasoned industry professionals, gaining personal development whilst contributing your strong technical skills and a positive, can-do attitude.

We'll trust you to:
  • Understand client needs, identify improvements and new use cases
  • Contribute to defining product development plans across text and other unstructured datasets
  • Drive engineering resources and execute planned development initiatives
  • Evaluate new unstructured data sources and assess their quality, coverage, and product potential
  • Create and update portfolios of client-facing technical documentation
  • Design protocols and tools to facilitate comprehensive product quality checks
  • Provide quantitative research to support client testing and onboarding
  • Serve as subject matter expert in client discussions, sales meetings, industry events
You'll need to have:
  • Bachelor's or graduate degree in business, finance, or engineering-related field
  • 5+ years' work experience in a financial or technology company
  • Hands-on experience working with unstructured text data - for example NLP, text analytics, large news or document corpora, or LLM-based pipelines
  • Knowledge of Python or SQL. Understanding of how ETL pipelines work a plus.
  • Understanding of data structures, algorithms, machine learning, quantitative trading.
  • Good written and verbal communication skills.
  • Sense of humor a plus.
We'd love to see:
  • Experience with non-text unstructured data: audio or speech, imagery, or video
  • Familiarity with multimodal machine learning, embeddings, or modern foundation models
  • Experience building or evaluating data labeling, annotation, or quality pipelines at scale

Salary Range = 140,000 - 295,000 USD Annual + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include the following benefits.

  • merit increases
  • incentive compensation (exempt roles only)
  • paid holidays
  • paid time off
  • medical
  • dental
  • vision
  • short and long term disability benefits
  • 401(k) +match
  • life insurance
  • various wellness programs
  • among others.

The Company does not provide benefits directly to contingent workers/contractors and interns.

Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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