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Annotation Jobs in Connecticut (NOW HIRING)

Varsity Tutors

LSAT Tutor

Stamford, CT · Remote

$26 - $40/hr

Skilled at teaching logic game setup and notation systems, argument core identification, and passage annotation. Guides students through conditional reasoning, sufficient/necessary conditions, game ...

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TACHS Tutor

Hartford, CT · Remote

$18 - $40/hr

Skilled at teaching reading passage annotation, grammar rule application, and mental math estimation strategies for TACHS. Guides students through vocabulary-in-context questions, paragraph ...

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Autocad Tutor

Bridgeport, CT · Remote

$25 - $40/hr

Deep knowledge of AutoCAD 2D drafting, 3D modeling, dimensioning, layers, blocks, hatching, plotting, annotation, and file management. Ability to explain coordinate systems, object properties ...

Varsity Tutors

ACT Reading Tutor

Hartford, CT · Remote

$18 - $40/hr

Ability to explain active reading strategies, annotation techniques, and evidence location for 40 questions in 35 minutes with strong time pressure. * Strategic Passage Navigation & Analysis: Skilled ...

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All JobsAnnotation JobsAnnotation Jobs in Connecticut

Annotation information

See Connecticut salary details

$42.8K

$55.6K

$92.8K

How much do annotation jobs pay per year?

As of Sep 7, 2026, the average yearly pay for annotation in Connecticut is $55,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $55,200.00 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 Connecticut?

The most popular types of Annotation jobs in Connecticut are:

What are popular job titles related to Annotation jobs in Connecticut?

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

What job categories do people searching Annotation jobs in Connecticut look for?

The top searched job categories for Annotation jobs in Connecticut are:

Annotation jobs near you
Infographic showing various Annotation job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 47% Full Time, 48% Part Time, 2% Temporary, and 2% Contract. Highlights an 36% Physical, 1% Hybrid, and 63% Remote job distribution, with an average salary of $55,569 per year, or $26.7 per hour.

AI Agent Trajectory Annotator and Reviewer

Bespoke Labs

New Haven, CT • On-site

$20 - $30/hr

Full-time

Posted 6 days ago

Job description

Type: Contract, hourly

Location: Remote

Hours: 20–30 per week

Pay: $20–30/hour, based on experience and language coverage

Start: Immediate

ABOUT THE ROLE

We evaluate how well advanced AI coding agents solve real engineering problems. An agent is given a real open source codebase inside a container and a hard task, then works on its own for 80 to 250 steps. A trajectory is the full record of that run — every command, result, and decision.

You will do two jobs, and you should expect either on any given day.

•Annotate — Read a trajectory nobody has looked at yet and judge it step by step.

• Review — Take an existing annotation, written by our AI tooling or another person, and confirm, correct, or reject it.

TASKS YOU'LL SEE

• Feature build — Add a working feature to a live library without breaking anything that already worked.

• Rebuild — Work out what a compiled tool does by running it, then rebuild it to match its output, exit codes, and file effects.

• Bug hunt — Find and fix twenty undocumented bugs across a dozen files with no test suite, then record what caused them.

Mostly Python and Go, with some Rust, C, and Ct+. A trajectory runs about 100 steps.

WHAT YOU JUDGE IN A TRAJECTORY

• Was the command right for the state the environment was actually in?

• Did the agent read the previous output correctly?

• Was the step wrong, or only inefficient — these are scored differently.

• Where did the run first go off course — usually earlier than where it visibly broke.

• Did the agent notice its own mistake and recover, or keep building on a false assumption?

• Did it game the grader instead of solving the task (e.g., weakening a test or hardcoding an expected value)?

WHAT WE NEED FROM YOU

• Experience — 2+ years in software engineering, DevOps, or site reliability, with real debugging in real codebases.

• Languages — Strong in Python or Go, and able to read a language you've never used.

• Linux — Comfortable with logs, running processes, build failures, and containers.

• Workflow — Everyday Git, diffs, pull requests, and issue tracking.

• Debugging — Able to work with no test suite and no error message pointing at the cause.

• Focus — Able to hold context across a long run, because step 74 can depend on step 12.

• Writing — Clear English, since every judgement needs an explanation another engineer can check.

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