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Generative Ai Project Manager Jobs in Indiana (NOW HIRING)

Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real ... Outlier is looking for skilled software experts to help train generative AI models. * This ...

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Generative Ai Project Manager information

What are the key skills and qualifications needed to thrive as a Generative AI Project Manager, and why are they important?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

What are some unique challenges faced by Generative AI Project Managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What does a Generative AI Project Manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What are popular job titles related to Generative Ai Project Manager jobs in Indiana? For Generative Ai Project Manager jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Generative Ai Project Manager jobs? Cities in Indiana with the most Generative Ai Project Manager job openings:
AI Software Engineer - Coding - Remote

AI Software Engineer - Coding - Remote

Outlier AI

Noblesville, IN • Remote

Part-time

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


Job description

Outlier helps the worlds most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw?

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.

Whether you are a passionate orchestration guru or experienced software developer -- we want you to help us train the world's most advanced generative systems.


About the opportunity:

  • Outlier is looking for skilled software experts to help train generative AI models.
  • This freelance role is fully remote and offers flexible hoursyou can contribute whenever it fits your schedule.


You may contribute your expertise by

  • Developing objective, verifiable criteria (rubrics) to evaluate system performance and ensure outputs meet strict functional requirements.
  • Reviewing system logs and "trajectories" to refactor code, improve execution paths, and reach a "Golden Path" of perfect reliability
  • Testing systems for vulnerabilities, including improper data exposure, unauthorized access escalations, and edge-case failures.


Were looking for people with

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors



Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output
  • Hands on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.


Payment:

  • Project work: Earn up to USD $35 per hour for core project work
  • Additional incentives: On average, Outlier Contributors earn an additional 7.5% on top of the core project rates through Missions Outlier's version of surge pricing. The top quartile of contributors boost their earnings by an average of 11%.
  • Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates apply. Additional incentives data is based on payments made in the past six months and is updated quarterly. Certain projects offer incentive payments. Please review the payment terms for each project.


PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with the Outlier Privacy Policy and our internal policies and programs designed to protect personal data.

This is a 1099 contract opportunity on the Outlier.ai platform. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence. If you are an international student, you may be able to sign up for Outlier if you are on a visa. You should contact your tax and/or immigration advisor with specific questions regarding your circumstances.