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Contract Ai Data Annotation Jobs in Delaware (NOW HIRING)

Morson Talent

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

Contract Duration: 1 Year Rate: Up to $45/hour W2 + benefits Hours: 40 hours/week (8am - 4pm ... At least 1 year of experience in data science, analytics, automation, or AIrelated work. Desired ...

Mwe

Senior Manager, AI & Analytics

Wilmington, DE · On-site

WHAT YOU'LL DO * Lead the Reporting, Data & AI Center of Excellence - establishing strategy ... Identify opportunities to apply AI, machine learning, and intelligent automation across Contract-to ...

ApTask

AI-ML Tech Lead

Wilmington, DE · On-site

$42K - $55K/yr

... including data flow diagrams, integration contracts, and deployment architecture. • Act as the hands‐on technical lead, guiding AI/ML engineers, DSL engineers, backend developers, and SFMC ...

Welo Data

English AI Maps Trainer

Houston, DE · Remote

$20.30/hr

What if your knowledge English language could help improve the AI.     WHAT YOU'LL DO   ... Maps Visual Design Relevance Evaluator - English (US) · Contract type: Freelance · Hourly rate:

Booz Allen Hamilton

MuleSoft Architect

Dover, DE · On-site

$99K - $225K/yr

Experience using AI tools to expedite MuleSoft development and testing * Knowledge of API-led architecture, MuleSoft, identity, data contracts, system decomposition, and enterprise integration in ...

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Contract Ai Data Annotation information

What is a contract AI data annotation?

A Contract AI Data Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train artificial intelligence (AI) and machine learning models. As a contractor, you'll work on specific projects for a set period, rather than as a full-time employee. The work is detail-oriented and may involve tasks like categorizing objects in photos, transcribing audio, or marking up text for sentiment or intent. This role is crucial in ensuring that AI systems learn accurately and perform well. Contract AI data annotators often work remotely and may be paid by the hour or per task.

What are the key skills and qualifications needed to thrive as a contract AI data annotation specialist?

To thrive as a Contract AI Data Annotation Specialist, you need attention to detail, familiarity with data labeling concepts, and at least a high school diploma or relevant experience. Proficiency with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as basic understanding of data formats, is typically required. Strong communication, time management, and the ability to follow precise guidelines help you excel in this role. These skills ensure accurate, high-quality datasets that are critical for training effective AI and machine learning models.

What are some common challenges faced by contract AI data annotators, and how can they be addressed?

Contract AI data annotators often encounter challenges such as maintaining consistency across large datasets, understanding complex labeling guidelines, and meeting tight project deadlines. To address these, it's important to thoroughly review project documentation, participate in onboarding or training sessions, and communicate proactively with project managers or team leads when questions arise. Leveraging annotation tools efficiently and seeking feedback on your work can also help improve accuracy and productivity, making it easier to adapt to varying project requirements.

What is the difference between Contract Ai Data Annotation vs Data Labeler?

AspectContract Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, project-based
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Contract Ai Data Annotation and Data Labeler roles are similar, both involve preparing data for AI systems. However, Contract Ai Data Annotation often encompasses a broader range of annotation tasks and may require familiarity with specific tools or platforms. Both roles are essential in AI development and are commonly found in tech industries, with similar work environments and credential requirements.

What are the most commonly searched types of Ai Data Annotation jobs in Delaware?

The most popular types of Ai Data Annotation jobs in Delaware are:

What are popular job titles related to Contract Ai Data Annotation jobs in Delaware?

For Contract Ai Data Annotation jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Contract Ai Data Annotation jobs in Delaware look for?

The top searched job categories for Contract Ai Data Annotation jobs in Delaware are:

What cities in Delaware are hiring for Contract Ai Data Annotation jobs?

Cities in Delaware with the most Contract Ai Data Annotation job openings:

Contract Ai Data Annotation jobs near you
Infographic showing various Contract Ai Data Annotation job openings in Delaware as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 44% In-person, and 56% Remote job distribution.

AI Agent Trajectory Annotator and Reviewer

Bespoke Labs

Seaford, DE • On-site

$20 - $30/hr

Full-time

Posted yesterday

New

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.

Apply