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Ai Task Reviewer Jobs in Alabama (NOW HIRING)

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

General Counsel - Remote

Mobile, AL · Remote

$90 - $130/hr

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

... AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

Showing results 21-40

Ai Task Reviewer information

What is the difference between Ai Task Reviewer vs Data Annotator?

AspectAi Task ReviewerData Annotator
Required CredentialsBasic computer skills, training in review guidelinesBasic computer skills, training in annotation tools
Work EnvironmentRemote or office-based, reviewing AI outputsRemote or office-based, labeling and annotating data
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets
Search & Comparison IntentUnderstanding review roles in AI projectsUnderstanding data labeling roles in AI

The main difference between an Ai Task Reviewer and a Data Annotator lies in their roles within AI development. Ai Task Reviewers focus on evaluating and validating AI outputs, ensuring quality and accuracy, while Data Annotators are responsible for labeling and preparing data used to train AI models. Both roles are essential in the AI industry, often requiring similar skills but serving different functions in the data pipeline.

Are remote AI task reviewer jobs legit?

Remote AI task reviewer jobs are legitimate positions where individuals evaluate and annotate data to improve AI systems. These roles often require attention to detail, basic computer skills, and sometimes specific training or guidelines, and they are commonly offered by reputable companies in the tech industry.

How to become an AI Task Reviewer?

To become an AI Task Reviewer, candidates typically need strong attention to detail, good understanding of AI and machine learning concepts, and experience with data annotation or content moderation. Relevant skills include familiarity with review platforms, basic knowledge of data labeling tools, and the ability to follow guidelines accurately. Some positions may require a high school diploma or equivalent, with advanced roles favoring prior experience in AI-related tasks.

What cities in Alabama are hiring for Ai Task Reviewer jobs?

Cities in Alabama with the most Ai Task Reviewer job openings:

Infographic showing various Ai Task Reviewer job openings in Alabama as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI Agent Trajectory Annotator and Reviewer

Bespoke Labs

Huntsville, AL • 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.