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Ai Labeling Jobs in Connecticut (NOW HIRING)

Expertise with Microsoft Purview, including DSPM for AI, DLP, sensitivity labels, audit logging, insider risk. * Experience with OWASP, STRIDE, PASTA, NIST, AI RMF, ISO/IEC * Ability to develop ...

Expertise with Microsoft Purview, including DSPM for AI, DLP, sensitivity labels, audit logging, insider risk. * Experience with OWASP, STRIDE, PASTA, NIST, AI RMF, ISO/IEC * Ability to develop ...

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Ai Labeling information

See Connecticut salary details

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How much do ai labeling jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ai labeling in Connecticut is $13.29, according to ZipRecruiter salary data. Most workers in this role earn between $11.88 and $14.62 per hour, depending on experience, location, and employer.

What is an AI labeling?

An AI labeling job involves annotating data (such as images, text, audio, or video) to help train machine learning models. This can include tasks like categorizing objects, transcribing speech, or identifying patterns. Accurate labeling is essential for AI systems to learn and improve their performance. The job typically requires attention to detail and an understanding of specific labeling guidelines. It is often performed using specialized software tools provided by AI companies.

What does an AI labeling team member do?

A typical day as an AI Labeling team member involves reviewing large volumes of data—such as images, audio, or text—and accurately tagging or categorizing each piece according to specific guidelines. You’ll often work both independently and in collaboration with a team lead or quality assurance specialist, who reviews and validates your work. Regular communication with teammates and project managers helps clarify any ambiguities and ensures consistency across the project. While the work can be repetitive, it is essential for creating training data that powers AI models, and team members often rotate between different projects for variety and skill development.

What are the key skills and qualifications needed to thrive in AI labeling?

To thrive in an AI Labeling role, you need strong attention to detail, the ability to follow detailed instructions, and basic computer literacy, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, workflow management tools, and sometimes image or audio editing software is commonly expected. Strong communication, patience, and the ability to quickly learn new guidelines are valuable soft skills in this position. These skills are essential to ensure high-quality, accurate datasets that directly impact the performance of artificial intelligence systems.

What are the most commonly searched types of Ai Labeling jobs in Connecticut?

The most popular types of Ai Labeling jobs in Connecticut are:

What are popular job titles related to Ai Labeling jobs in Connecticut?

For Ai Labeling jobs in Connecticut, the most frequently searched job titles are:

Infographic showing various Ai Labeling job openings in Connecticut as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $27,637 per year, or $13.3 per hour.

AI Governance Engineer

Dalio Family Office

Westport, CT • On-site

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

AI Governance Engineer
Dalio Family Office Overview:
The Dalio Family Office (DFO) supports Barbara and Ray Dalio and their family in their ventures, investments, and philanthropic efforts under Dalio Philanthropies, which includes OceanX, Dalio Education, Endless Network, and the Beijing Dalio Foundation. The core of the DFO's culture is built around meaningful work and meaningful relationships and the family's commitment to giving back. The office is headquartered in Westport, CT with regional offices in New York City, Singapore, and Abu Dhabi.
Position Summary:
This AI Governance Analyst / Engineer will build and operate the program that lets the organization adopt agentic AI aggressively, and safely. You will author the AI-SSDLC, gate agents before production, own the organization's AI threat model, and hunt for risky or misaligned behavior before it becomes an incident. The role works across IT, Compliance, Legal, and every business unit building or consuming AI tools, and serves as the primary SME on Agentic AI security for senior leadership and the board.
Day-to-day responsibilities would include a combination of the following:
  • Develop and manage the AI Secure Software Development Lifecycle (AI-SSDLC), including governance controls and an enterprise agent registry.
  • Lead AI threat modeling, risk assessments, red team exercises, and security reviews for AI agents and platforms.
  • Monitor AI systems for security, compliance, and behavioral risks; enforce governance standards and executive reporting.
  • Partner with Legal, Privacy, Compliance, and Security teams to align AI programs with regulatory and industry frameworks.
  • Drive automation, process scalability, and reporting dashboards to improve governance efficiency and risk management.

The ideal candidate will possess the following knowledge, skills, attributes, and values:
  • Integrity and sound judgment in balancing AI innovation with risk management.
  • Expertise in AI governance, AI-SSDLC, and enterprise risk frameworks.
  • Strong knowledge of AI security, threat modeling, red teaming, and agentic AI architectures.
  • Ability to influence and collaborate across IT, Legal, Compliance, Privacy, and business teams.
  • Proven capability to design scalable governance processes, controls, and automation.
  • Executive-level communication skills with the ability to present complex AI risks and strategies to senior leadership and the board.

Illustrative Benefits:
  • 100% company paid medical premiums
  • 17 company paid holidays
  • Friday summer hours
  • Monthly community happy hours
  • Hybrid work environment
  • Free catered food services for in-office days
  • Generous PTO offering
  • Casual dress code
  • 150% 401(k) match up to $7,500 and 100% match above $7,500 ($15k match limit)
  • Gym reimbursement, back up childcare services, insurance, financial, and legal services, and much more!

Qualifications:
  • Bachelor's Degree or Diploma in Information Security, Risk Management, Computer Science, or a related field.
  • 5+ years of experience in information security, IT governance, risk management, compliance, or software engineering, including 2+ years of hands-on enterprise AI/automation experience.
  • Knowledge of AI in Power Automate, including AI Builder, agentic workflows, connector permissions, and audit logging.
  • Strong understanding of Model Context Protocol (MCP), trust boundaries, tool scoping, and AI agent security.
  • Expertise with Microsoft Purview, including DSPM for AI, DLP, sensitivity labels, audit logging, insider risk.
  • Experience with OWASP, STRIDE, PASTA, NIST, AI RMF, ISO/IEC
  • Ability to develop scripts or low code solutions; Python, Powershell, or Power Platform and analyze security logs
  • Approximately 10% travel required both domestically and internationally

Compensation:
Compensation for the role includes a competitive salary in the range from $175,000 -$260,000 (inclusive of a merit-based bonus, dependent on years of experience, level of education obtained, as well as applicable skillset) and an excellent benefits package, including paid time off ranging from 15 to 25 days based on years of service, paid sick and safe leave, dental, vision, life and disability insurance, paid parental time off, birth mother recovery pay, sick family member pay, parental ramp back up program, gym reimbursement and generous employer match for 401k.
Please note we are unable to provide immigration sponsorship for this position.
At the DFO, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. The DFO treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes and general treatment during employment, including on the basis of actual or perceived race, creed, color, religion, sex, age, sexual orientation, gender identity and/or expression, alienage or national origin, ancestry, citizenship status, marital status, veteran status, or disability.