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Ai Agent Jobs in Delaware (NOW HIRING)

ApTask

AI-ML Tech Lead

Wilmington, DE · On-site

$42K - $55K/yr

They are seeking an AI-ML Tech Lead to own the end-to-end architecture for AI-agent systems and lead technical teams in developing and implementing AI/ML solutions. The role involves collaborating ...

Photon

Lead AI Engineer | Onsite - Delaware

Wilmington, DE · On-site

$99K - $131K/yr

Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns. * Own guardrails delivery (safety, compliance, PII handling in prompts/outputs) - critical in a financial ...

Photon

Lead AI Engineer | Onsite - Delaware

Wilmington, DE · On-site

$99K - $131K/yr

Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns. * Own guardrails delivery (safety, compliance, PII handling in prompts/outputs) - critical in a financial ...

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How much do ai agent jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai agent in Delaware is $30.17, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $39.71 per hour, depending on experience, location, and employer.

What is an AI Agent?

An AI Agent job typically involves designing, developing, and managing autonomous or semi-autonomous AI systems that can perform tasks, make decisions, and interact with users or other systems. AI Agents may be used in customer service, data analysis, automation, and decision-making processes. Professionals in this role often work with machine learning models, natural language processing, and reinforcement learning to enhance the capabilities of AI-driven agents.

What does an AI Agent do?

AI Agents often work on projects that involve designing, developing, and optimizing AI-driven systems such as chatbots, recommendation engines, or automated decision-making tools. Daily tasks may include data preprocessing, model training and evaluation, troubleshooting system performance, and collaborating with data scientists, software engineers, and product managers to align solutions with business objectives. The work environment is typically collaborative, fast-paced, and outcome-oriented, allowing team members to contribute ideas and innovations regularly. Over time, AI Agents can progress into more specialized or leadership roles, taking on greater responsibilities and overseeing larger initiatives.

What are the key skills and qualifications needed to thrive as an AI Agent?

To thrive as an AI Agent, you need a strong background in artificial intelligence, machine learning, and data analysis, often supported by a relevant degree in computer science or a related field. Familiarity with programming languages such as Python, TensorFlow, and natural language processing (NLP) tools, as well as certifications in machine learning or AI technologies, is often required. Strong problem-solving abilities, teamwork, and effective communication skills are important for collaborating on complex projects. These abilities are essential for developing, maintaining, and improving AI-driven solutions that meet the needs of businesses and end-users.

How can I become an AI agent?

To become an AI agent, you typically need a background in computer science, data science, or related fields, along with skills in programming languages like Python and knowledge of machine learning frameworks. Gaining experience through relevant projects, certifications, or training in AI and automation tools can also be beneficial. Strong problem-solving skills and understanding of AI ethics are important for this role.

How much does an AI agent make?

The salary of an AI agent varies depending on experience, location, and industry, but typically ranges from $70,000 to $130,000 annually. Roles often require skills in machine learning, programming, and data analysis, with higher salaries for those with advanced certifications or specialized expertise.

What work can AI agents do?

AI agents can perform tasks such as data analysis, automation of repetitive processes, customer support through chatbots, and decision-making assistance. They often require skills in programming, machine learning, and familiarity with AI tools and platforms.

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Infographic showing various Ai Agent job openings in Delaware as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 57% In-person, and 43% Remote job distribution, with an average salary of $62,756 per year, or $30.2 per hour.

AI Agent Trajectory Annotator and Reviewer

Bespoke Labs

Dover, DE

$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.

Apply