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Data Labeler Remote Jobs in Iowa (NOW HIRING)

Senior AI Product Manager

Ames, IA · On-site +1

$123K - $163K/yr

Technical literacy regarding data pipelines, dataset curation/labeling requirements, and core model ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

Data Labeler Remote information

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What are the key skills and qualifications needed to thrive as a remote data labeler?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

How much does a data labeler remote make?

Remote data labelers typically earn between $12 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer additional incentives or flexible schedules, but wages generally align with entry-level data annotation roles in the industry.

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail but typically has lower barriers to entry and limited career advancement without additional skills or certifications.

What are popular job titles related to Data Labeler Remote jobs in Iowa?

For Data Labeler Remote jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Data Labeler Remote jobs in Iowa look for?

The top searched job categories for Data Labeler Remote jobs in Iowa are:

What cities in Iowa are hiring for Data Labeler Remote jobs?

Cities in Iowa with the most Data Labeler Remote job openings:

Infographic showing various Data Labeler Remote job openings in Iowa as of August 2026, with employment types broken down into 42% Full Time, and 58% Part Time. Highlights an 100% Remote job distribution.

Senior AI Product Manager

Ames, IA • On-site, Remote


Workiva, Inc.
Software Development • 1 - 5K employees

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 246 rated software companies

Great coworkers

People enjoy working here

Good employer


$123K - $163K/yr

Full-time

Retirement

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


Job description

Workiva is seeking a Senior AI Product Manager to lead the execution, scale, and lifecycle management of machine learning and artificial intelligence capabilities within Workiva's platform. In this role, you will bridge the gap between advanced data science and practical customer value, translating complex AI capabilities into tangible business value for our customers, with a strong emphasis on shipping impactful products from conception to widespread adoption.

You will collaborate directly with engineering, data science, and design teams to deliver high-performance enterprise tools that maximize platform intelligence and user efficiency.

What You'll Do

Product Strategy & Vision

  • Deeply understand and articulate a compelling product vision and strategy for AI/ML features, aligning with company objectives and market opportunities

  • Conduct in-depth market research, competitive analysis, and customer discovery to identify unmet needs and opportunities for AI-driven innovation

  • Develop detailed product roadmaps, user stories, and acceptance criteria for AI/ML initiatives, ensuring clear prioritization and measurable outcomes

Product Lifecycle Management & Delivery

  • Lead the end-to-end product lifecycle for AI/ML features, from ideation and validation to development, launch, and post-launch optimization

  • Drive the execution of product initiatives, ensuring timely and high-quality delivery of features that meet customer needs and business goals

  • Collaborate closely with engineering and data science teams to translate complex AI models and algorithms into intuitive, scalable, and performant product experiences

  • Champion a data-driven approach, utilizing metrics and analytics to inform product decisions and measure the success of launched features

Technical Acumen & Collaboration

  • Serve as the bridge between business needs and technical execution, possessing a strong understanding of AI/ML concepts, data pipelines, and scalable system architectures

  • Engage deeply with engineering teams, understanding the technical complexities and trade-offs involved in building enterprise-grade AI solutions

  • Contribute to technical discussions and architectural decisions, ensuring product requirements are technically feasible and align with our platform's underlying infrastructure

Stakeholder Engagement & Go-to-Market

  • Partner with sales, marketing, and customer success teams to develop effective go-to-market strategies, enablement materials, and compelling messaging for new AI features

  • Gather feedback from internal and external stakeholders, acting as the voice of the customer within the product development process

  • Present product strategies, roadmaps, and updates to executive leadership, customers, and other key stakeholders

What You'll Need

Minimum Qualifications

  • 6+ years of product management experience in software development or related field

  • Proven track record of successfully shipping products that have achieved market adoption and business impact

  • Demonstrated experience managing product lifecycles from ideation through launch and iteration in an Agile development environment

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

Preferred Qualifications

  • 2-3+ years specifically focused on AI/ML products or features within a B2B SaaS or enterprise software environment

  • Practical experience managing products that leverage Natural Language Processing (NLP), Large Language Models (LLMs), or automated agentic workflows

  • Technical literacy regarding data pipelines, dataset curation/labeling requirements, and core model evaluation metrics (e.g., precision, recall, latency)

  • Familiarity with enterprise software design principles, including microservices architectures and API-first product delivery

  • Demonstrated ability to convey technical constraints and algorithmic trade-offs clearly to non-technical business leaders and executive stakeholders

  • Strong analytical and problem-solving abilities, with a data-driven approach to decision-making

  • Ability to thrive in a fast-paced environment and manage multiple priorities effectively

  • Master's degree preferred

  • Certifications in product management or AI/ML preferred

Working Conditions & Travel Requirements

  • Ability to travel up to 20% to meet with customers, stakeholders, and product teams at other Workiva locations

  • Reliable internet connection required during remote work periods

How You'll Be Rewarded

Salary range in the US: $129,000.00 - $261,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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