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Data Annotation For Ai Jobs in Iowa (NOW HIRING)

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon ... Identify data quality, governance, and model risk concerns and provide recommendations for ...

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... data preparation, basic model integration, and prompt engineering for AI-powered features. Qualifications : • Bachelor's/Master's degree in computer science, IT, or related field. • Strong ...

Contribute to data preparation, basic model integration, and prompt engineering for AI-powered features. Qualifications : Bachelor's/Master's degree in computer science, IT, or related field. Strong ...

... AI & GenAI Data Scientist-Director, you will leverage advanced technologies and techniques to ... for clients, transforming raw data into actionable insights that drive business growth. Within our ...

We are a $14B commercial and specialty insurance provider delivering innovative, data-driven risk ... This is a leadership role focused on incubating ideas for automation, implementation of those ideas ...

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Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
What are popular job titles related to Data Annotation For Ai jobs in Iowa? For Data Annotation For Ai jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Data Annotation For Ai jobs? Cities in Iowa with the most Data Annotation For Ai job openings:
Infographic showing various Data Annotation For Ai job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data & AI Strategy Consultant

Cognizant Technology Solutions

Des Moines, IA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants


Job description

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Job Summary
We are seeking a Data & AI Strategy Advisor to partner closely with healthcare payer stakeholders in defining and executing their data and AI transformation journey. Unlike traditional consulting roles, this position focuses on facilitating strategy development alongside client teams, enabling them to build internal capabilities, alignment, and ownership of outcomes. The role requires expertise in data strategy, governance, AI enablement, and healthcare payer operations, with a strong emphasis on collaboration, coaching, and strategic advisory. The ideal candidate will help translate business goals into actionable data and AI priorities while ensuring regulatory and governance considerations are addressed.
In this role, you will:
• Partner with business, data, and technology leaders to assess current-state capabilities, identify gaps, and uncover opportunities within the client's data and AI landscape.
• Facilitate the development of a multi-year Data & AI strategy and roadmap, ensuring stakeholder alignment and client ownership of outcomes.
• Translate executive vision and business objectives into prioritized initiatives, measurable KPIs, and actionable delivery plans.
• Assess existing data platforms, architecture, governance, and operating models, providing recommendations aligned with organizational maturity and business goals.
• Advise on data governance, data quality, lineage, metadata management, and Master Data Management (MDM) initiatives.
• Help identify, evaluate, and prioritize AI, Generative AI, and agentic AI use cases across healthcare payer domains such as claims, utilization management, member experience, and provider operations.
• Guide the adoption of responsible AI frameworks, model governance practices, and risk management controls appropriate for regulated healthcare environments.
• Collaborate with client teams to ensure recommendations align with HIPAA, CMS interoperability requirements, and other healthcare regulatory obligations.
• Facilitate workshops, stakeholder discussions, and strategy sessions to build consensus and drive informed decision-making.
• Identify data quality, governance, and model risk concerns and provide recommendations for mitigation and continuous improvement.
What you need to have to be considered
• 10+ years of experience in Data Strategy, Data Governance, Analytics Strategy, AI Strategy, or Enterprise Data Transformation roles.
• Demonstrated experience facilitating strategic planning sessions and building data/AI roadmaps collaboratively with client stakeholders.
• Strong understanding of data governance, data quality, metadata management, lineage, MDM, and modern data architecture principles.
• Experience advising organizations on AI, Generative AI, advanced analytics, and data-driven business transformation initiatives.
• Knowledge of healthcare payer data domains including claims, eligibility, provider, member, quality measures, and utilization management is highly desirable.
• Familiarity with healthcare regulations and standards including HIPAA, CMS interoperability requirements, and healthcare data governance practices.
• Strong business consulting, stakeholder management, workshop facilitation, and executive communication skills.
• Ability to translate ambiguous business objectives into structured strategic plans and measurable outcomes.
• Experience working across business and technology teams to align strategy, governance, and execution.
• Bachelor's or Master's degree in Business, Data Management, Computer Science, Healthcare Informatics, or a related field.
#LI-EF1
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Applications will be accepted until 14 Aug 2026.
Salary and Other Compensation:
The annual salary for this position is between $[151,000 - 177,500] depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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