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Ai Task Jobs in Kentucky (NOW HIRING)

$100 - $125/hr

Partner with the "AI Task Force" to implement and refine LLM-based tools (like Gemini) for automated bid reviews and contract data extraction. * Stakeholder Partnership: Act as a liaison between the ...

$100 - $125/hr

Kubernetes Task Auditor -- AI Output Review (Remote, US) is a remote review track for evaluating AI outputs across audit workflows. Reviewers grade calculations, narrative reasoning, and policy ...

Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...

Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...

Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...

Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...

Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...

Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...

$150 - $200/hr

About A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring ...

$125 - $150/hr

... not just tasks. People at Jeen are trusted to take responsibility, make decisions, and push ... Build with clarity Enterprise AI is complex. We value people who can simplify, focus, communicate ...

$200 - $250/hr

As an Applied AI Engineer, you'll take ownership of complex AI products from early experimentation ... tasks * Evaluating and improving performance: Creating evals, analyze failures, and hill-climb on ...

$100 - $125/hr

Mindrift connects specialists with project-based AI opportunities for leading tech companies ... Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

$125 - $150/hr

Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves nearly ...

$150 - $200/hr

... long-running tasks * Driving evaluation and iteration: Defining evals, build feedback loops ... AI systems reliably at scale * Shaping product direction and engineering approaches across the ...

$200 - $250/hr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... Measurable improvements in task success rate, grounding accuracy, and hallucination rate on our ...

$150 - $200/hr

... tasks, leaving them stuck in outdated, labor-intensive SOPs. Luminai structures the chaos ... About the role As a Product Manager working on AI systems, you will play a foundational role in ...

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Ai Task information

What is an AI task?

AI tasks are specific activities or problems that artificial intelligence systems are designed to perform or solve. These can range from natural language processing, image recognition, and data analysis to autonomous decision-making and recommendation systems. AI tasks are typically defined based on the goals of an AI project and can be performed by machine learning models, algorithms, or other intelligent software. Understanding the nature of a particular AI task is crucial for choosing the right tools and methods to solve it effectively.

What are some common challenges faced by AI task specialists when working on multi-disciplinary teams?

AI Task specialists often collaborate with data scientists, software engineers, product managers, and domain experts. A common challenge is translating complex technical concepts into actionable insights for non-technical stakeholders while ensuring that the AI models align with business objectives. Balancing competing priorities, such as model accuracy versus deployment speed, and managing expectations around AI capabilities can also be demanding. Effective communication and adaptability are key to overcoming these challenges and achieving successful project outcomes.

What are the key skills and qualifications needed to thrive as an AI (Artificial Intelligence) engineer, and why are they important?

To thrive as an AI Engineer, you need a solid background in computer science, mathematics, and programming, typically supported by a relevant degree. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and familiarity with cloud platforms is essential, and certifications in data science or AI can be advantageous. Strong problem-solving abilities, creativity, and effective communication skills help AI Engineers design innovative solutions and explain complex concepts to diverse stakeholders. These skills ensure successful development, deployment, and integration of AI technologies in real-world applications.

What is the difference between Ai Task vs Data Annotator?

AspectAi TaskData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data labelingMinimal formal education, training in annotation tools often provided
Work EnvironmentRemote or on-site, often part of AI development teamsPrimarily remote, working with datasets and annotation platforms
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and data science
Search & Comparison IntentUnderstanding roles in AI projects, job requirementsClarifying data labeling tasks and skills needed

Ai Tasks involve a range of activities related to training AI models, including data labeling, model testing, and algorithm development. Data Annotators specifically focus on labeling and annotating datasets to train machine learning models. While both roles support AI development, Ai Tasks encompass broader responsibilities, whereas Data Annotators primarily handle data preparation.

What cities in Kentucky are hiring for Ai Task jobs?

Cities in Kentucky with the most Ai Task job openings:

Infographic showing various Ai Task job openings in Kentucky as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 7% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior Strategic Sourcing Data Analyst

On-site

$100 - $125/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Key responsibilities

  • Develop and maintain automated dashboards in Tableau or Power BI to track KPIs such as cost avoidance, contract cycle times, and payment term compliance.

  • Analyze procurement datasets to identify trends, leakage, and opportunities for negotiation or consolidation.

  • Partner with the AI Task Force to implement and refine LLM-based tools for automated bid reviews and contract data extraction.


Job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This Role:

Crusoe is on a mission to unlock value in stranded energy resources through the power of computation and to align the future of computing with the future of the climate. As we scale, data-driven decision-making is paramount to our success.

This is a 100% on-site role in Denver, Colorado.

What You’ll Be Working On:
  • Strategic Reporting: Develop and maintain automated dashboards in Tableau or Power BI to track KPIs such as cost avoidance, contract cycle times, and payment term compliance.

  • Spend Analysis: Analyze large-scale procurement datasets (e.g., Coupa, SAP) to identify trends, leakage, and opportunities for negotiation or consolidation.

  • Predictive Insights: Utilize statistical modeling to forecast lead times and market price fluctuations for long-lead equipment like transformers and breakers.

  • Process Optimization: Partner with the "AI Task Force" to implement and refine LLM-based tools (like Gemini) for automated bid reviews and contract data extraction.

  • Stakeholder Partnership: Act as a liaison between the Technical Power teams and Legal, translating data into "business speak" to support high-value negotiations and EPC agreements.

  • Data Integrity & Governance: Oversee data accuracy within Jira and our Sourcing modules. Help design "Golden Rules" for data entry within Coupa to ensure audit-ready project tracking.

  • Ad-Hoc Agility: Support the Senior Analyst with rapid-turnaround analysis on fragmented or "dirty" datasets to support immediate business needs.

What You’ll Bring to the Team:
  • Experience: 5-7 years of experience in data analytics, preferably within the supply chain & procurement sectors.

  • Technical Stack: * SQL: Proficiency in writing complex queries to extract data from relational databases.

    • Visualization: Expert-level skills in Power BI, Tableau, or similar.

    • Programming: Foundational knowledge of Python or R for data cleaning and statistical analysis.

  • Tools: Familiarity with ERP/Sourcing tools (e.g., Coupa, SAP) and project management software (Jira).

  • Analytical Rigor: Ability to calculate complex metrics like Working Capital Impact and Total Cost of Ownership (TCO).

  • Communication: Proven ability to present data-heavy findings clearly to non-technical executive stakeholders.

Bonus Points:
  • Experience with Generative AI and its application in automating business workflows.
  • Knowledge of the energy/utilities sector, specifically regarding high-voltage equipment sourcing.
  • A "self-starter" mentality—the ability to identify a problem and build the analytical framework to solve it independently.
Benefits:
  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off, paid holidays & leave of absence programs
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary
  • Volunteer time off
  • Global travel insurance & emergency assistance
  • Daily meals allowance
  • Additional perks & programs specific to location
Compensation Range:

Compensation will be paid in the range of $110,000 - $120,000+ Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and market align

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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