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Data Annotation Tech Jobs in Bronx, NY (NOW HIRING)

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

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

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 ...

NBCUniversal

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements ... paced, high growth tech environment. * Professional Experience: Proven experience as a Data ...

NBCUniversal

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements ... paced, high growth tech environment. * Professional Experience: Proven experience as a Data ...

NBCUniversal

Senior Data Scientist

Manhattan, NY

$120K - $150K/yr

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements ... paced, high growth tech environment. * Professional Experience: Proven experience as a Data ...

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 ...

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All JobsData Annotation Tech JobsData Annotation Tech Jobs in Bronx, NY

Data Annotation Tech information

See Bronx, NY 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 Bronx, NY is $23.80, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $28.32 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 job categories do people searching Data Annotation Tech jobs in Bronx, NY look for?

The top searched job categories for Data Annotation Tech jobs in Bronx, NY are:

What cities near Bronx, NY are hiring for Data Annotation Tech jobs?

Cities near Bronx, NY with the most Data Annotation Tech job openings:

Data Annotation Tech jobs near you
Infographic showing various Data Annotation Tech job openings in Bronx, NY as of August 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $49,496 per year, or $23.8 per hour.

Team Leader - Code Generation, Data AI

Bloomberg LP

New York, NY • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

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 - Code Generation, Data AI
Location
New York
Business Area
Data
Ref #
10053334
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 improve our systems, products and processes - all while providing customer support to our clients.
Our Team:
The Bloomberg Data AI group brings modern AI technologies into Bloomberg's Data organization while contributing deep financial domain expertise to the development of AI-powered products. We partner closely with partners 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 improve the capabilities and competitiveness of Bloomberg's offerings.
What's the Role?
As Bloomberg's AI-powered code generation products continue to grow in scale and importance, we are seeking a Team Leader to provide technical and operational leadership across workstreams focused on improving the quality, reliability, and effectiveness of client-facing AI experiences. This is a hands-on leadership role focused on connecting work across a highly autonomous team, establishing shared technical and quality standards, and helping workstreams move from experimentation to scalable production.
You will act as a force multiplier for the team by providing technical direction, resolving ambiguity, identifying dependencies, and enabling workstream leads to execute independently while remaining aligned to a common strategy. A key part of the role will be advancing technical practices across the team, strengthening how we evaluate correctness and failure modes, and expanding the use of automation and tooling to improve client outcomes. Working closely with Product, Engineering, Data partners, and the CTO's Office, you will help translate client needs, financial domain expertise, and model behavior into measurable improvements in Bloomberg's code generation capabilities.
We'll Trust You To:
  • Provide technical and operational leadership across client-facing code generation and agent workstreams, aligning leads on priorities, technical direction, quality standards, and delivery expectations.
  • Establish shared technical and evaluation practices for natural language to code, structured generation, and agent workflows, with a focus on correctness, reliability, and client experience.
  • Partner with Engineering, Product, AI teams, and domain experts to translate client and product needs into scalable generation, evaluation, annotation, and improvement strategies.
  • Define and improve evaluation methodologies for generated code and structured outputs, including correctness, semantic fidelity, execution quality, robustness, and failure analysis.
  • Drive improvements in client-facing AI outcomes by scaling the tooling, automation, data pipelines, annotation workflows, and evaluation frameworks used to identify and address model and system failures.
  • Serve as a technical escalation point and force multiplier by resolving ambiguity, identifying cross-workstream dependencies, advancing technical practices, and contributing hands-on to high-priority problems.

You'll Need to Have:
  • Significant experience in applied AI, machine learning, code generation, evaluation, data, software engineering, or a closely related technical field.
  • Experience providing technical leadership across multiple projects or workstreams, including influencing peers and leading through expertise rather than formal authority.
  • Strong technical fluency and the ability to engage credibly with Engineering and AI partners on prompts, schemas, APIs, data structures, evaluation design, and system behavior.
  • Strong understanding of generative AI workflows and how evaluation data, annotation, grounding, structured representations, and quality measurement can be used to improve model and product performance.
  • Experience evaluating generated code or structured outputs using metrics, error analysis, execution results, and other signals of correctness, reliability, and production readiness.
  • Strong analytical, communication, and coordination skills, with the ability to turn ambiguous client or system problems into structured, measurable improvement strategies across technical, product, and domain partners.

We'd Love to See:
  • Experience building or evaluating natural language to code, query generation, agentic systems, or other client-facing generative AI applications.
  • Hands-on experience with Python, SQL, APIs, structured data, schemas, data pipelines, or similar technical tooling.
  • Familiarity with BQL or other domain-specific query languages.
  • Experience designing evaluation frameworks, automated evaluation systems, benchmarking approaches, error taxonomies, or annotation strategies for generative AI.
  • Familiarity with execution-based evaluation, root-cause analysis, issue discovery, production monitoring, or closed-loop AI quality improvement workflows.
  • Experience in financial services or another complex, domain-rich environment, with a track record of mentoring technical contributors and raising technical capabilities across a team.

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.

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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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