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Data Annotation Ai Trainer Jobs in Vermont (NOW HIRING)

Privacy, Data Protection & Regulatory Compliance * Advise on data protection and privacy matters ... Legal Operations, Policies & Training * Improve legal processes through the development of ...

Lab Manager

Hyde Park, VT · On-site

$21.79 - $28.20/hr

... study design, data analysis, and manuscript preparation. This position is ideal for highly ... Training and mentoring research assistants. * Supporting lab operations (e.g., IRB submissions ...

Sales Business Retention Rep

East Montpelier, VT · On-site

$52K - $59K/yr

Create detailed usage reporting and analyze data to inform customer strategy and internal alignment ... Customer training experience is a plus * Interest in using AI or productivity tools to enhance work ...

Showing results 21-40

Data Annotation Ai Trainer information

What is a data annotation AI trainer?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What does a data annotation AI trainer do?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

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

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Salaries can range from entry-level rates to higher wages for specialized skills or advanced tools proficiency.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by tech companies and data labeling firms. However, job seekers should verify the employer's credibility to avoid scams.

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Infographic showing various Data Annotation Ai Trainer job openings in Vermont as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Lead Director, Software Engineering

Hispanic Alliance for Career Enhancement

Montpelier, VT • On-site

$144.20 - $288.40/hr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

We're building a world of health around every individual – shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary

We're looking for a Lead Director of Software Engineering who thinks like a founder, executes like a principal engineer, and leads like someone who's done it at the highest levels of the industry. You will set the bar – and then raise it.

What You'll Actually Do
  • Drive technical strategy across a multi‑team engineering organization (50‑150+ engineers), setting architectural standards, defining engineering excellence benchmarks, and personally reviewing and elevating the work.
  • Operational Efficiency. Every system design decision you make should start with the question: How to create 10x leverage? You will actively embed LLMs, generative AI, agentic workflows, and ML‑powered automation into the engineering lifecycle, not just as experiments, but as production‑grade differentiators.
  • Own delivery at velocity. You ship. You are accountable for outcomes, not roadmaps. You hold your teams to the same standard.
  • Partner at the executive level – with Product owners, Data Engineers, and Health care business leaders – translating business strategy into engineering bets with precision and conviction.
  • Be the technical voice in the room – You call out architectural debt, push back on infeasible timelines, and advocate for the right engineering investment.
Required Qualifications
  • 10+ years of progressive software engineering experience, including 5+ years leading large‑scale engineering organizations. You have built and scaled systems that serve tens of thousands of users. You know what happens when your system goes down.
  • Deep, hands‑on technical foundation in distributed systems, cloud‑native architectures, and modern backend engineering at scale.
  • Proven AI platform ownership. You have deployed production AI systems – not POCs, not demos, not limited to prompt engineering. You understand model deployment pipelines, vector databases, RAG architectures, LLM orchestration, inference optimization, and responsible AI principles.
  • Track record of engineering transformation. You have migrated monoliths to microservices, modernized legacy platforms under real business pressure, and lived the consequences of every architectural decision you've made.
Preferred Qualifications
  • Healthcare or highly regulated domain experience – You have navigated HIPAA, CMS compliance, PHI data handling development.
  • Platform engineering ownership – You have built or led internal developer platforms, engineering productivity tooling.
Education

Minimum

  • Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a closely related technical discipline – or equivalent demonstrated engineering depth through work history, open‑source portfolio, or verifiable technical contribution at scale.

Preferred

  • Master's degree (M.S. or M.Eng.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Graduate‑level training in algorithms, distributed systems, statistical learning, or systems design gives us confidence in your technical ceiling.
Pay Range

The typical pay range for this role is: $144,200.00 – $288,400.00. This pay range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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