Data Annotators: Paid Tasks for AI Model Training

Terac

United States

RemoteCareer-pivot friendly

Who this role is best for

Strong fit for remote data professionals who adapt to evolving guidelines and manage independent workflows.

Best fit for

Remote data professionals with prior annotation experience and adaptability to new guidelines
— “We welcome freelance labelers, QA testers, content moderators, and machine learning data specialists.”
Individuals who can balance independent work with high attention to detail and accuracy
— “Strong attention to detail and ability to follow complex guidelines”

Things to consider

This role may require consistent time management for independent tasks
— “Manage your own time to complete assignments at your preferred pace”
Candidates must be prepared for evolving project parameters and guidelines
— “adapting to new labeling guidelines as project parameters evolve”

How to stand out

Emphasize experience in diverse data formats and AI evaluation on your resume
— “Evaluate AI-generated responses for clarity, safety, and factual accuracy”
Showcase your ability to work independently and manage your own schedule effectively
— “You will work through these assignments independently and at your own pace”
Highlight your track record of maintaining accuracy in data labeling tasks
— “detail-oriented individuals with prior experience in data annotation”

Pace · SteadyCollaboration · LowAutonomy · HighDecision Impact · Individual

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Generate high-quality labeled data
Evaluate AI-generated responses

Typical background

Data AnnotationMachine Learning

Skills & requirements

Required

Data AnnotationLabelingAI Model EvaluationAttention To Detail

Preferred

Machine LearningContent Moderation

Stack & domain

Data AnnotationData LabelingAI Model EvaluationAttention To DetailAIMachine Learning

About the role

Original posting from Terac via Ashby

WHAT WE'RE RESEARCHING
We are running a paid project focused on generating high-quality labeled data for artificial intelligence models. This ongoing initiative helps refine machine learning systems across a variety of formats and subject matters. Your work directly contributes to improving model accuracy, safety, and reasoning capabilities.
HOW IT WORKS
You will log into our remote platform to access a queue of diverse annotation assignments. Depending on the current batch, you might categorize text, highlight specific entities, or evaluate AI-generated responses for quality. You will work through these assignments independently and at your own pace. The project features rolling availability, allowing you to seamlessly fit the work around your existing schedule.
WHO THIS IS FOR
We are looking for detail-oriented individuals with prior experience in data annotation, data labeling, or AI model evaluation. We welcome freelance labelers, QA testers, content moderators, and machine learning data specialists. You must be comfortable working independently and adapting to new labeling guidelines as project parameters evolve.
WHAT YOU'LL DO
Review text or media samples based on provided project guidelines
Apply accurate labels and categorizations to diverse data sets
Evaluate AI-generated responses for clarity, safety, and factual accuracy
Manage your own time to complete assignments at your preferred pace
WHO SHOULD APPLY
Prior professional experience with data annotation or labeling
Strong attention to detail and ability to follow complex guidelines
Comfortable working independently on a remote basis
Familiarity with evaluating AI outputs or machine learning datasets
COMPENSATION
$40 per hour
READY TO PARTICIPATE?
Start your paid interview now https://terac.com/interview/start/r/111afe68-9ea7-4687-9f78-972c993b2587?utm_source=ashby_listing_description
ABOUT TERAC
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com https://terac.com or on YouTube at @jointerac https://www.youtube.com/@jointerac.

Source: Terac careers (Ashby)