ZipRecruiter

Log In

1

Data Annotation Tech Jobs in Princeton, NJ (NOW HIRING)

Smarsh

Lead Data Scientist

New York, NY · On-site

Data annotation and quality review * Exploratory data analysis and model fail state analysis ... We use the latest in AI/ML technology to help our customers break new ground at scale. We are a ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Data annotation and quality review * Exploratory data analysis and model fail state analysis ... We use the latest in AI/ML technology to help our customers break new ground at scale. We are a ...

Snorkel AI

AI Researcher - Intern

New York, NY · On-site

Evaluating HITL data annotation processes, gaps, and improvements What We're Looking For * PhD ... technology company. You will gain a macro-view of the AI ecosystem, working where the world ...

Alice

Freelancer - GenAI Experts

New York, NY · Remote

The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're ... Support data annotation, curation, and quality control processes * Summarize findings into ...

Alice

Freelancer - GenAI Experts

New York, NY · On-site +1

The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're ... Support data annotation, curation, and quality control processes * Summarize findings into ...

previous pagenext page

Showing results 21-40

All JobsData Annotation Tech JobsData Annotation Tech Jobs in Princeton, NJ

Data Annotation Tech information

See Princeton, NJ salary details

$12

$23

$36

How much do data annotation tech jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data annotation tech in Princeton, NJ is $23.95, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $28.46 per hour, depending on experience, location, and employer.

What is a data annotation tech?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What does a data annotation tech do?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

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

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What are popular job titles related to Data Annotation Tech jobs in Princeton, NJ?

For Data Annotation Tech jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech jobs in Princeton, NJ look for?

The top searched job categories for Data Annotation Tech jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Data Annotation Tech jobs?

Cities near Princeton, NJ with the most Data Annotation Tech job openings:

Data Annotation Tech jobs near you
Infographic showing various Data Annotation Tech job openings in Princeton, NJ as of August 2026, with employment types broken down into 49% Full Time, and 51% Part Time. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $49,806 per year, or $23.9 per hour.

Team Leader - Annotations Operations and Governance

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 246 rated software companies

Job description

Team Leader - Annotations Operations and Governance
Location
New York
Business Area
Data
Ref #
10049470
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
Our team:
The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while contributing deep financial domain expertise to the development of AI-powered products. We partner closely with stakeholders to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that enhance the capabilities and competitiveness of Bloomberg's offerings.
What's the role?
We are seeking a Team Lead to own and scale Bloomberg's annotation function across AI and data initiatives, with responsibility for Annotation Operations and Annotation Standards & Governance. This role leads two tightly coupled but distinct capabilities: (1) governing canonical annotation standards and judgment frameworks, and (2) applying those standards at scale through operational execution, quality control, and continuous improvement.
The Team Lead will operate annotation as a shared service across our Data AI teams. They will ensure that centrally defined standards: schemas, labels, ambiguity frameworks, and calibration rules, are consistently and correctly applied in production through SME-driven workflows, vendor execution, and robust operational controls.
The ideal candidate is a technically grounded, systems-oriented leader who understands how annotated data shapes AI model behavior and evaluation outcomes. You are comfortable operating at scale while exercising strong technical judgment, enforcing standards, interpreting ambiguity, and using metrics to detect drift, diagnose failure modes, and continuously improve data quality.
In this role, you will help build a durable, repeatable annotation capability that produces correct, consistent, and reproducible data over time, supporting training, evaluation, monitoring, and production AI systems.
We'll trust you to:
  • Lead and develop a team responsible for operating and governing Bloomberg's AI data annotation capability, delivering consistent, high-quality data through strong technical judgment and clear standards.
  • Own annotation operations end-to-end, translating schemas and judgment frameworks into scalable workflows with measurable quality.
  • Establish governance and quality mechanisms, including calibration, agreement analysis, and drift detection, that ensure consistent interpretation of standards.
  • Partner closely with AI, Data, and Platform teams to align annotation outputs with production needs and downstream model requirements.
  • Ensure operational strength at scale, including workforce strategy, vendor oversight, capacity planning, and service reliability.
  • Drive continuous improvement through metrics, feedback loops, and root-cause analysis.
  • Act as steward of judgment integrity, maintaining high agreement and durable decision-making frameworks as models and domains evolve.

You'll need to have:
  • Prior people leadership experience, including leading operational or program-focused teams.
  • Demonstrated technical judgment in designing or operating annotation systems that support machine learning training, evaluation, or model assessment.
  • Strong understanding of annotation systems and quality methodologies, including calibration, agreement modeling, and drift detection.
  • Proven experience running large-scale annotation or data operations with vendor and SME workforces.
  • Ability to enforce centrally defined standards while maintaining consistency at scale.
  • Excellent cross-functional leadership skills and comfort operating in ambiguity-rich environments.
  • Strong program leadership capability, with a focus on measurable outcomes and continuous improvement.
  • Bachelor's or Master's degree in a relevant field, or equivalent practical experience.

We'd love to see:
  • Experience supporting ML training, evaluation, or monitoring pipelines.
  • Familiarity with annotation platforms, QA tooling, and data instrumentation.

Salary Range = 135,000 - 230,000 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.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

What Bloomberg employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Bloomberg logo

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

View All Bloomberg Jobs

Apply