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Annotation Jobs in Cincinnati, OH (NOW HIRING)

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Annotation information

See Cincinnati, OH salary details

$43.2K

$56K

$93.5K

How much do annotation jobs pay per year?

As of Sep 6, 2026, the average yearly pay for annotation in Cincinnati, OH is $56,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $55,600.00 per year, depending on experience, location, and employer.

What is an annotation?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

What are the typical projects or tasks an annotation specialist works on?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

What are the key skills and qualifications needed to thrive in the annotation position?

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

What are annotation jobs?

Annotation jobs involve labeling or tagging data, such as images, text, or audio, to help train machine learning models. These roles often require attention to detail and familiarity with annotation tools or software, and they are commonly performed remotely or in a digital environment.

What skills are needed for annotation?

Annotation jobs require strong attention to detail, good reading comprehension, and the ability to follow specific guidelines. Familiarity with data labeling tools and basic computer skills are also important. Accuracy and consistency are essential for producing high-quality annotated data.

What are the most commonly searched types of Annotation jobs in Cincinnati, OH?

The most popular types of Annotation jobs in Cincinnati, OH are:

What are popular job titles related to Annotation jobs in Cincinnati, OH?

For Annotation jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Annotation jobs in Cincinnati, OH look for?

The top searched job categories for Annotation jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Annotation jobs?

Cities near Cincinnati, OH with the most Annotation job openings:

Infographic showing various Annotation job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 54% Full Time, 41% Part Time, and 4% Contract. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $56,048 per year, or $26.9 per hour.

Principal Coding Annotator / LLM Evaluation Engineer

Braintrust

Alexandria, KY • On-site, Remote

$75 - $90/hr

Full-time

Posted 2 days ago

New


Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams. Job description

This is a contracting engagement - initially 6 months - with potential for long term engagement.

Location: Paris or London-based preferred; alternatively Europe remote for strong candidates


We are building and evaluating state-of-the-art large language models (LLMs) and are looking for experienced software engineers to join our evaluation and annotation team. This role sits at the intersection of real-world software engineering, model evaluation, and applied AI, and is critical to improving model reliability, reasoning, and code quality.

You will design challenging coding tasks, evaluate model outputs against rigorous benchmarks, identify failure modes, and contribute to reinforcement learning and model improvement workflows.

This is not a junior annotation role. We are looking for practitioners with deep hands-on coding experience who can think like both an engineer and an evaluator.

What You’ll Do
  • Evaluate coding tasks involving software vulnerabilities, exploit verification, and security patches.
  • Create high-quality coding prompts and reference answers (benchmark-style, e.g. SWE-Bench-like problems).
  • Evaluate LLM outputs for code generation, refactoring, debugging, and implementation tasks.
  • Identify and document model failures, edge cases, and reasoning gaps.
  • Perform head-to-head evaluations between private LLMs (Mistral-based) and leading external models.
  • Build or configure coding environments to support evaluation and reinforcement learning (RL).
  • Follow detailed annotation and evaluation guidelines with high consistency.
What We’re Looking For
  • 5+ years of professional software development experience.
  • Strong Python skills (required).
  • Knowledge of at least one additional programming language (bonus).
  • Experience with professional code review, coding annotation, LLM/code evaluation, or benchmark design is a plus, but not required.
  • Hands-on experience with vulnerability research, exploit reproduction or verification, or implementing, backporting, or validating security patches.
  • Proven ability to apply structured evaluation criteria and write clear technical feedback.
  • Fluent in English (written and spoken).
  • Team lead or mentoring experience is a strong plus.
Why This Role
  • Work hands-on with cutting-edge LLMs.
  • Apply real-world engineering judgment to model evaluation and improvement.
  • High-impact, technical work with a focused, senior team.