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Remote Ai Trainer Jobs in Springfield, MA (NOW HIRING)

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Work you'll do Epic Denials Manager on the AI & Engineering team, you will be responsible for the ... This is a remote role with minimal travel requirements. A successful candidate would possess these ...

Director, Internal Audit

Hartford, CT · Remote

$180K - $236K/yr

This is a remote position, open to candidates who reside in: Hartford, CT. You will be fully remote ... Develop training programs for IA team members and ensure compliance with IIA standards * Compliance ...

Sr. Cloud Architect

Hartford, CT · On-site +1

$137K - $205K/yr

The Hartford's Data Analytics and AI Office (DAIO) - and Data Platform Services (DPS) Team is ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

Sr. Cloud Architect

Hartford, CT · On-site +1

$137K - $205K/yr

The Hartford's Data Analytics and AI Office (DAIO) - and Data Platform Services (DPS) Team is ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

Helpdesk Support

East Hartford, CT · Remote

$19.75 - $26.50/hr

Using advanced AI and hardware technology, we deliver fixed-location, trailer-based, and vehicle ... Deliver remote support for trailer and vehicle setup and certification operations. * Troubleshoot ...

Establish AI experience strategy and competitive positioning to support business growth and ... training, and industry-recognized certifications. * 8+ years of product management, technical ...

Epic Denials Management Operator

Hartford, CT · Remote

$18.25 - $24.25/hr

Position Summary Join Deloitte's AI & Engineering practice to support hospital denials management ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

Showing results 41-60

Remote Ai Trainer information

See Springfield, MA salary details

$13

$31

$63

How much do remote ai trainer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for remote ai trainer in Springfield, MA is $31.13, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $35.43 per hour, depending on experience, location, and employer.

What is a remote AI trainer?

A Remote AI Trainer is responsible for improving artificial intelligence systems by providing accurate data, evaluating AI responses, and ensuring model performance aligns with human expectations. This role often involves tasks like annotating data, reviewing machine-generated content, and giving feedback to refine AI models. Remote AI Trainers typically work with natural language processing (NLP), computer vision, or other AI applications. Strong analytical skills, attention to detail, and familiarity with AI technologies are valuable for this position.

What does a remote AI trainer do?

As a Remote AI Trainer, your day usually involves reviewing, labeling, and categorizing large datasets such as text, images, or audio to help train and improve AI models. You may participate in virtual meetings with data scientists or machine learning engineers to discuss guidelines, resolve ambiguities, and review feedback. Regular tasks include ensuring the quality of annotations, updating documentation, and sometimes designing new labeling workflows or guidelines. The role is largely independent but requires clear communication and collaboration with team members across different locations. Over time, you may have the opportunity to take on more complex projects, mentor new trainers, or transition into specialized roles in AI or data science.

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

To thrive as a Remote AI Trainer, you typically need a solid understanding of machine learning concepts, data annotation practices, and excellent analytical skills, often backed by a relevant degree or prior experience in AI or data science. Familiarity with data labeling tools, version control systems, and platforms like Python-based annotation frameworks is common, and certifications such as Coursera's AI or data science courses can be beneficial. Strong attention to detail, clear written communication, and time management are critical soft skills for working independently and delivering high-quality labeled data. These competencies ensure accurate, bias-free data preparation, effective collaboration with remote teams, and successful development of AI models.

What are popular job titles related to Remote Ai Trainer jobs in Springfield, MA?

For Remote Ai Trainer jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Trainer jobs in Springfield, MA look for?

The top searched job categories for Remote Ai Trainer jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Remote Ai Trainer jobs?

Cities near Springfield, MA with the most Remote Ai Trainer job openings:

Infographic showing various Remote Ai Trainer job openings in Springfield, MA as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $64,757 per year, or $31.1 per hour.

System Test and Validation Lead

Hartford, CT • On-site, Remote

Deloitte
Finance and Insurance • 10K+ employees

Full-time

Re-posted 24 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

Drive validation and compliance activities for complex GxP systems as a Senior Consultant, Regulatory, Risk, and Compliance. This role supports system validation strategy, audit readiness, CAPA management, and risk-based compliance activities across regulated technology environments. This role helps clients address emerging validation considerations for AI/ML-enabled systems and automation frameworks. If this sounds exciting, then this team may be the right fit for you!

Work you'll do

As a Senior Consultant, Regulatory, Risk, and Compliance on the Regulatory, Risk, and Forensic team, you will be responsible for...

  • Lead end-to-end validation activities for GxP systems, including validation plans, IQ/OQ/PQ protocols, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Apply risk-based validation principles to assess system impact, classify validation requirements, and support compliance with GAMP 5, 21 CFR Part 11, and data integrity expectations
  • Drive inspection readiness activities, including gap assessments, mock audits, validation package reviews, and support for regulatory inspections and responses
  • Lead CAPA activities for validation findings, including root cause analysis, effectiveness checks, closure documentation, and tracking of open compliance actions
  • Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Qualifications

Required:

  • Bachelor's degree in business, information systems, computer science, engineering, or equivalent experience; 6+ years of experience in computer system validation in a life sciences environment, including pharma, biotech, medical device, or clinical
  • Experience leading validation deliverables for GxP systems, including IQ/OQ/PQ protocols, validation plans, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Experience applying 21 CFR Part 11, EU Annex 11, GAMP 5, and data integrity requirements, including Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available principles
  • Experience managing CAPA lifecycle activities and supporting inspection readiness for Food and Drug Administration or European Medicines Agency audits
  • Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool behavior, and qualifying or validating automation testing frameworks
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting periodic review programs for validated systems and associated CAPA triggers
  • Experience validating cloud or software as a service platforms, including Veeva, ServiceNow, or Salesforce in a GxP environment
  • Experience working in Agile delivery environments with validation activities embedded in sprints
  • Experience with AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems

For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to a remote role and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $145,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Drive validation and compliance activities for complex GxP systems as a Senior Consultant, Regulatory, Risk, and Compliance. This role supports system validation strategy, audit readiness, CAPA management, and risk-based compliance activities across regulated technology environments. This role helps clients address emerging validation considerations for AI/ML-enabled systems and automation frameworks. If this sounds exciting, then this team may be the right fit for you!

Work you'll do

As a Senior Consultant, Regulatory, Risk, and Compliance on the Regulatory, Risk, and Forensic team, you will be responsible for...

  • Lead end-to-end validation activities for GxP systems, including validation plans, IQ/OQ/PQ protocols, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Apply risk-based validation principles to assess system impact, classify validation requirements, and support compliance with GAMP 5, 21 CFR Part 11, and data integrity expectations
  • Drive inspection readiness activities, including gap assessments, mock audits, validation package reviews, and support for regulatory inspections and responses
  • Lead CAPA activities for validation findings, including root cause analysis, effectiveness checks, closure documentation, and tracking of open compliance actions
  • Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Qualifications

Required:

  • Bachelor's degree in business, information systems, computer science, engineering, or equivalent experience; 6+ years of experience in computer system validation in a life sciences environment, including pharma, biotech, medical device, or clinical
  • Experience leading validation deliverables for GxP systems, including IQ/OQ/PQ protocols, validation plans, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Experience applying 21 CFR Part 11, EU Annex 11, GAMP 5, and data integrity requirements, including Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available principles
  • Experience managing CAPA lifecycle activities and supporting inspection readiness for Food and Drug Administration or European Medicines Agency audits
  • Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool behavior, and qualifying or validating automation testing frameworks
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting periodic review programs for validated systems and associated CAPA triggers
  • Experience validating cloud or software as a service platforms, including Veeva, ServiceNow, or Salesforce in a GxP environment
  • Experience working in Agile delivery environments with validation activities embedded in sprints
  • Experience with AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems

For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to a remote role and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $145,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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