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Text Annotation Jobs in New York (NOW HIRING)

... Image, Text-to-Video, Multi-Modal models, and AI Agents. Analyze outputs, categorize ... Support data annotation, curation, and quality control processes * Summarize findings into ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

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Text Annotation information

What are typical day-to-day responsibilities for someone working in text annotation?

Text Annotation professionals spend much of their day reading and labeling text data according to specific guidelines, ensuring that information is correctly categorized and flagged. This can involve highlighting entities, identifying sentiments, tagging parts of speech, or annotating complex relationships within text documents. They frequently collaborate with project managers, data scientists, and quality assurance teams to clarify instructions and maintain data consistency. The role often involves independent work, but regular check-ins and feedback sessions help maintain accuracy and enhance understanding of evolving annotation requirements. This combination of independent and collaborative tasks makes the position dynamic and integral to successful AI or NLP project outcomes.

Are data annotations still hiring?

Data annotation roles, including those for text annotation, are still in demand as companies continue to develop AI and machine learning models. These jobs often require attention to detail and familiarity with annotation tools, and they can be available as remote or part-time positions. Hiring trends depend on industry needs and project pipelines, but opportunities remain consistent in this field.

What is a text annotation job?

A text annotation job involves labeling or tagging parts of text data to help train machine learning models, especially in natural language processing tasks. Workers typically review text and add labels such as entities, sentiments, or categories using specialized tools, often working remotely with flexible schedules.

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

Strong language proficiency, attention to detail, and critical thinking are essential skills for succeeding as a Text Annotation specialist, often supported by a bachelor's degree in linguistics, computer science, or a related field. Familiarity with annotation tools like Labelbox, Prodigy, or the Amazon Mechanical Turk platform, as well as knowledge of data privacy and handling protocols, is typically required. Excellent communication, self-motivation, and the ability to focus on repetitive tasks help individuals excel in this position. These capabilities ensure high-quality, consistent data labeling for machine learning models, supporting the development of cutting-edge AI solutions.

Is data annotation a legit job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and it can be performed remotely or in-office. Many companies hire data annotators as part of their AI development teams.

What is a Text Annotation job?

A Text Annotation job involves labeling and categorizing text data to help train machine learning models. Annotators add tags, metadata, or classifications to text, enabling AI systems to understand language patterns. This work is essential for applications like chatbots, search engines, and sentiment analysis. Strong attention to detail and language proficiency are key skills for this role.

What qualifications do you need to be a data annotator?

To be a data annotator, basic qualifications typically include a high school diploma or equivalent, strong attention to detail, and good reading and comprehension skills. Familiarity with annotation tools and the ability to follow specific guidelines are also important, while prior experience or knowledge in the relevant domain can be beneficial but is not always required.
What are the most commonly searched types of Text Annotation jobs in New York? The most popular types of Text Annotation jobs in New York are:
What cities in New York are hiring for Text Annotation jobs? Cities in New York with the most Text Annotation job openings:
Infographic showing various Text Annotation job openings in New York as of July 2026, with employment types broken down into 71% Full Time, 20% Part Time, and 9% Contract. Highlights an 54% In-person, and 46% Remote job distribution.
Enterprise Data- Unstructured Data Product Manager

Enterprise Data- Unstructured Data Product Manager

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 209 rated software companies


Job description

Enterprise Data- Unstructured Data Product Manager
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 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, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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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