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From Home Ai Data Rater Jobs in Kansas (NOW HIRING)

Ascend Learning

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

From testing to certification, Ascend Learning products are used by physicians, emergency medical ... WHAT YOU'LL DO The Senior Data and AI Scientist leads strategic data science and AI initiatives ...

The Jernigan Agency

WORK FROM HOME

Overland Park, KS · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Kansas City, KS · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Topeka, KS · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

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From Home Ai Data Rater information

What is the difference between From Home Ai Data Rater vs From Home Content Moderator?

AspectFrom Home Ai Data RaterFrom Home Content Moderator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI training, data labelingOnline platforms, social media moderation
Common Search IntentData annotation, AI training jobsContent review, community moderation jobs

Both roles are remote and require similar skills, but From Home Ai Data Raters focus on labeling data to train AI systems, while From Home Content Moderators review online content to ensure community guidelines are followed. The roles differ mainly in their purpose within the tech industry, with data raters supporting AI development and content moderators maintaining platform integrity.

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Infographic showing various From Home Ai Data Rater job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution.

Director, AI & Data Transformation - Workforce Health Solutions

Quest Diagnostics

Lenexa, KS • On-site

Full-time

Re-posted 13 days ago

ExamOne rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

96th of 120 rated laboratories

Job description


The Director, AI & Data Transformation will be a key senior leader at Quest Workforce Health Solutions, responsible for defining and executing strategy for Artificial Intelligence (AI) and Automation. We are seeking a visionary leader with a proven track record of building high-performing technical teams and leveraging automation to enhance operational capabilities, empower employees, and create new business value. This pivotal role will champion the adoption of AI to augment our products, optimize workflows, and secure a sustainable competitive advantage.
Responsibilities
Strategic Leadership & Value Creation:
  • Develop and execute a comprehensive, multi-year AI and automation strategy that aligns with business objectives. Define and track key performance indicators (KPIs) to measure business impact and demonstrate the value created from all initiatives.

Team Leadership & Development:
  • Recruit, build, and mentor a team of AI, data, and automation specialists. Foster a culture of innovation, continuous learning, and collaboration focused on delivering impactful results.

Opportunity Identification & Enablement:
  • Partner with business leaders to identify high-impact use cases for AI and automation. Lead initiatives to optimize internal processes and workflows, driving internal efficiency and enabling our teams to focus on higher-value work, applying Lean methodologies and principles where applicable.

Technical Oversight & Execution:
  • Oversee the entire lifecycle of AI and automation projects-from ideation and prototyping to deployment and optimization. Architect and manage a scalable and secure AI infrastructure and provide hands-on guidance on the implementation of solutions like predictive models, LLMs, and large-scale automation systems.

Governance, Risk & Ethics:
  • In partnership with enterprise SMEs, establish a robust governance framework for all AI/Automation projects that aligns processes for key use cases (e.g., PHI/PII), ensuring clear prioritization, resource allocation, and risk assessment. Ensure all deployments adhere to the highest ethical guidelines and data privacy regulations, actively working to mitigate bias and operational risks.

Change Management & Communication:
  • Drive organizational change management to promote the understanding and adoption of AI solutions. Effectively communicate complex technical concepts and the value of AI initiatives to stakeholders at all levels, including the executive leadership team.

Qualifications
Required Work Experience:
  • A minimum of 3-5 years of experience in artificial intelligence, machine learning, or data science.
  • At least 5 years in a leadership role with demonstrated success in building, managing, and retaining high-performing technical teams.
  • A proven track record of developing and deploying AI-powered solutions and automation strategies that have delivered measurable business value, unlocked new opportunities, and demonstrated a clear return on investment (ROI).
  • Demonstrated proficiency with Microsoft Office suite of products, particularly Power Point, Word and Excel. Alteryx and SQL proficiency is a plus.

Preferred Work Experience:
  • Experience with Data Analytics and RPA Platforms: Hands-on experience with data analytics and ETL tools (e.g., Alteryx, SAS), business intelligence software (e.g., Tableau, Power BI), and Robotic Process Automation (RPA) platforms (e.g., UiPath, Automation Anywhere, Blue Prism)
  • Strong experience with big data technologies, MLOps practices, and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience managing multiple simultaneous projects and the flow of information across multiple work groups.
  • Project management experience highly desired.
  • Experience in a regulated industry (e.g., healthcare, finance) is highly desirable.

Knowledge:
  • Deep expertise in AI/ML fundamentals, including machine learning algorithms, deep learning, natural language processing (NLP), and generative AI (e.g., LLMs).

Skills:
  • Ability to prepare and persuasively present clear and concise written communications, both in report and presentation formats.
  • Ability to make presentations in person clearly and effectively to large and small groups, including senior business leadership team and clients.
  • Ability to multi-task, use analytical skills, follow verbal or written instructions, think analytically, effectively use written and verbal communication skills, concentrate on tasks, make decisions and adjust to change quickly.

People Leader Responsibility:
  • Lead a team of direct and indirect reports

Work Environment:
  • Remote in U.S.

Education:
  • BS/BA in business, computer science or data science (Required)
  • Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or a related technical field is required. (Preferred)

About the Team
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

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