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Ai Lab Jobs (NOW HIRING)

Walter

Full Stack Engineer - AI

New York, NY · On-site

The environment is designed like a cutting-edge AI lab, combining innovation with the distribution power of their broader ecosystem. The team consists of highly talented AI engineers, Full-stack ...

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

$100K - $300K/yr

About Cogent Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at ...

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

$100 - $300/hr

About Cogent Security Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at ...

Walter

Full Stack Engineer - AI

New York, NY · On-site +1

The environment is designed like a cutting-edge AI lab, combining innovation with the distribution power of their broader ecosystem. The team consists of highly talented AI engineers, Full-stack ...

Cogent Security

AI Research Scientist

San Francisco, CA · On-site

$100K - $300K/yr

About Cogent Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at ...

Sparks Group

Senior Business Analyst

Washington, DC · On-site

$50 - $60/hr

Our client is establishing an AI Lab, and they are looking for a Senior Business Analyst to support the AI Lab Director by anchoring the lab's requirements gathering, project coordination, governance ...

Mercor

Enterprise Sales Expert - AI Lab

San Francisco, CA · Remote

$60 - $90/hr

Judge AI handling against strong seller standards. Flag discrepancies and reasons. * Work real sales tasks end-to-end, including prospecting, pipeline management, and CRM hygiene. Create expert ...

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How much do ai lab jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ai lab in the United States is $25.25, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $27.88 per hour, depending on experience, location, and employer.

What is an AI Lab?

An AI Lab is a specialized research and development center focused on artificial intelligence technologies. These labs typically bring together scientists, engineers, and researchers to work on advancing machine learning, data science, robotics, and related fields. AI Labs can be part of universities, tech companies, or independent organizations, and they often collaborate on cutting-edge projects, publish research, and develop AI-powered solutions for real-world problems. Their work plays a crucial role in shaping how AI is integrated into various industries and society.

What are the key skills and qualifications needed to thrive in an AI Lab, and why are they important?

To thrive in an AI Lab, you need strong expertise in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as experience with data management systems, is typically required. Creative problem-solving, collaboration, and excellent communication skills help distinguish top contributors in this environment. These skills ensure effective research, innovation, and teamwork, driving successful AI development and implementation.

What are some common challenges faced when working in an AI Lab, and how can new team members overcome them?

Working in an AI Lab often involves tackling rapidly evolving technologies and collaborating with experts from diverse backgrounds, such as data scientists, engineers, and domain specialists. New team members may find it challenging to stay updated on cutting-edge research and to bridge communication gaps between different disciplines. To overcome these challenges, it's helpful to regularly attend team meetings, engage in knowledge-sharing sessions, and seek mentorship from experienced colleagues. Emphasizing continuous learning and open communication greatly enhances both individual growth and team success.

What is the difference between Ai Lab vs Data Scientist?

AspectAi LabData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentResearch labs, tech companies, or R&D departments focusing on AI developmentBusiness environments, analyzing data to inform decisions, often in tech, finance, or healthcare
Employer & Industry UsagePrimarily in tech companies, research institutions, and AI startupsAcross industries like finance, healthcare, marketing, and tech firms

While both roles involve working with data and algorithms, an Ai Lab focuses on developing and researching AI technologies, whereas a Data Scientist analyzes data to generate insights and support decision-making. The roles often overlap but differ mainly in their primary objectives and work environments.

How do I get into an AI lab?

To join an AI lab, candidates typically need a strong background in computer science, machine learning, or related fields, often demonstrated through a relevant degree or research experience. Gaining skills in programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and participating in research projects or internships can improve chances. Networking with professionals and publishing work can also help in securing a position in an AI lab.

What is the easiest AI Lab job to get into?

Entry-level roles in AI labs such as data annotation, data labeling, or research assistant positions are generally the easiest to obtain. These jobs often require basic technical skills, familiarity with AI concepts, and sometimes a relevant degree or certification, making them accessible for newcomers to the field.
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Ai Lab jobs near you
Infographic showing various Ai Lab job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $52,516 per year, or $25.2 per hour.

Insurance Specialist (Train AI Models Part Time!)

Hackajob

Remote

$400K/yr

Other

Posted 9 days ago

Job description

Insurance Specialist (Train AI Models Part Time!)

Remote

Up to $400,000/ year

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.

Overview: Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Insurance subject-matter experts (SMEs) with deep domain expertise and hands-on experience evaluating AI model outputs against rubrics to bring rigor and real-world underwriting judgment to our AI training data. This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

Key Responsibilities:

  • Guide research and engineering teams to close knowledge gaps in underwriting, claims, and risk-assessment reasoning.
  • Design challenging, domain-relevant insurance tasks and write accurate, well-reasoned solutions grounded in real underwriting/claims practice.
  • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality.
  • Develop and refine evaluation guidelines and scoring rubrics specific to insurance tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Core Qualifications:

  • 8+ years of dedicated professional experience in insurance (e.g., underwriting, claims, actuarial, risk management) at a recognized, top-tier organization (e.g., AIG, Chubb, Allstate, Progressive, MetLife, Marsh McLennan, or equivalent).
  • Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria — mandatory; please describe this experience in your application.
  • Demonstrable career progression (e.g., Underwriter → Senior Underwriter → VP of Underwriting).
  • Ability to engage reliably for at least 35 hours/week during weekdays.
  • Verbal and written communication skills, problem-solving skills, and interpersonal skills.

About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

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