ZipRecruiter

Log In

1

Annotation Tech Jobs (NOW HIRING)

Progeny HR Solutions LLC

MRI TECH - DAYS

Waco, TX

$33 - $48/hr

... positioning, annotation, etc.) and completes verification process in PACS. * Assists PACS ... Graduate of AMA approved School of Radiologic Technology. * Responsible for continuing education ...

Progeny HR Solutions LLC

MRI TECH - DAYS

Waco, TX

$33 - $48/hr

... positioning, annotation, etc.) and completes verification process in PACS. * Assists PACS ... Graduate of AMA approved School of Radiologic Technology. * Responsible for continuing education ...

Progeny HR Solutions LLC

MRI TECH - DAYS

Temple, TX

$33 - $48/hr

... positioning, annotation, etc.) and completes verification process in PACS. * Assists PACS ... Graduate of AMA approved School of Radiologic Technology. * Responsible for continuing education ...

Encord

Human Data Solutions Engineer

San Francisco, CA · On-site

... data annotation workflows. Responsibilities : • Partner with Account Executives to lead the ... AI/technology operations, or customer-facing technical roles (Solutions Engineering, Technical ...

next page

Showing results 1-20

People also search for

All JobsAnnotation Tech Jobs

Annotation Tech information

What are the key skills and qualifications needed to thrive as an Annotation Tech, and why are they important?

To thrive as an Annotation Tech, you need strong attention to detail, data labeling proficiency, and familiarity with data annotation guidelines, often supported by a background in computer science or related fields. Experience with annotation platforms such as Labelbox, Supervisely, or CVAT, and sometimes knowledge of basic scripting or data formats like JSON and XML, is typically required. Excellent communication, problem-solving skills, and the ability to follow complex instructions set top performers apart. These skills ensure high-quality, accurate data labeling that directly impacts the effectiveness of machine learning models.

What are some common challenges faced by Annotation Techs when working with large datasets?

Annotation Techs often work with large and diverse datasets, which can present challenges such as maintaining consistency and accuracy across annotations, especially when dealing with ambiguous or complex data. Additionally, the repetitive nature of the work can lead to fatigue, making it important to stay focused and adhere to established guidelines. Collaboration with data scientists and project managers is crucial to clarify requirements and address any uncertainties, ensuring that the annotated data meets project standards and deadlines.

What are Annotation Techs?

Annotation Techs, short for Annotation Technicians, are professionals who label, categorize, and tag data—such as images, text, or audio—to help train machine learning models. Their work is critical in fields like artificial intelligence, where high-quality, accurately labeled data is needed to teach algorithms how to recognize patterns and make decisions. Annotation Techs may use specialized software tools to identify objects in images, transcribe speech, or classify pieces of text. Attention to detail and consistency are key skills in this role, as errors or inconsistencies can affect the performance of AI systems. These professionals often work in teams and may collaborate with data scientists and engineers to ensure data quality.

What is the difference between Annotation Tech vs Data Labeler?

AspectAnnotation TechData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsHigh school diploma or equivalent; minimal certifications needed
Work EnvironmentOffice or remote; using specialized annotation toolsOffice or remote; using basic labeling software
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, data preparation

Annotation Tech and Data Labeler roles often overlap in data preparation for AI projects. Annotation Tech typically involves more specialized tools and may require some technical knowledge, whereas Data Labelers focus on basic labeling tasks. Both roles are essential in training AI systems, but Annotation Tech positions often demand a deeper understanding of annotation processes and tools.

More about Annotation Tech jobs
What cities are hiring for Annotation Tech jobs? Cities with the most Annotation Tech job openings:
What job categories do people searching Annotation Tech jobs look for? The top searched job categories for Annotation Tech jobs are:
Annotation Tech jobs near you
Infographic showing various Annotation Tech job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.
Team Leader - Annotations Operations and Governance

Team Leader - Annotations Operations and Governance

Bloomberg LP

Princeton, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Team Leader - Annotations Operations and Governance
Location
Princeton
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.
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