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Ai Tasker Jobs in Indiana (NOW HIRING)

Your task will be to create a reproducible RL env in which a known CVE is present/injected in the ... As an expert you will be creating Reinforcement Learning Environments which test and AI model ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Apply sophisticated calculus and quantitative methodologies to problem-solving tasks * Ensure ...

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 ...

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Ai Tasker information

What are the key skills and qualifications needed to thrive in the Ai Tasker position, and why are they important?

To thrive as an AI Tasker, you need a strong understanding of artificial intelligence concepts, data analysis, and problem-solving abilities, often supported by a background in computer science or a related field. Familiarity with AI platforms, automation tools, and workflow management systems is typically required, along with knowledge of APIs and task management software. Strong communication, attention to detail, and adaptability help AI Taskers excel when collaborating and managing diverse, technology-driven assignments. These capabilities are critical for ensuring accurate execution of AI-powered tasks and effective integration with business processes.

What is an AI Tasker job?

An AI Tasker is responsible for training, testing, and refining artificial intelligence models by completing various tasks such as labeling data, reviewing AI-generated content, and providing feedback on model outputs. This role helps improve AI systems by ensuring accuracy and relevance in their responses. AI Taskers often work remotely and require attention to detail, critical thinking skills, and familiarity with AI tools.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI researcher, machine learning director, or AI solutions architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in AI tools and frameworks, and they are found in industries like technology, finance, and healthcare.

What does a typical day look like for someone working as an AI Tasker?

As an AI Tasker, your day often involves reviewing and managing a variety of AI-assisted assignments such as data categorization, process automation, or QA testing on digital platforms. You may coordinate with team members to clarify project requirements, set priorities, and troubleshoot technical issues that arise during task execution. Regular collaboration with both AI engineers and project managers helps ensure deliverables meet quality standards and deadlines. The workload can be dynamic, requiring flexibility and proactive communication to handle shifting project demands efficiently.

What is an AI tasker?

An AI tasker is a person who completes tasks or projects that involve artificial intelligence technologies, such as data labeling, model training, or automation. They often work remotely, using specialized tools and platforms to perform these tasks efficiently and accurately.

What jobs make $3,000 a day?

High-paying jobs that can earn $3,000 a day include specialized roles such as AI Taskers working on complex projects, freelance consultants, surgeons, or senior executives. These positions typically require advanced skills, significant experience, or certification, and often involve high-demand industries or freelance work with premium clients.

What's the easiest AI job to get?

Entry-level AI-related roles such as data labeling, annotation, or basic AI testing are often the easiest to obtain, especially with minimal technical experience. These positions typically require attention to detail, basic computer skills, and familiarity with AI tools or platforms, and they often serve as stepping stones into more advanced AI roles.
What are the most commonly searched types of Ai Tasker jobs in Indiana? The most popular types of Ai Tasker jobs in Indiana are:
What cities in Indiana are hiring for Ai Tasker jobs? Cities in Indiana with the most Ai Tasker job openings:
Senior Software Engineer AI Evaluator

Senior Software Engineer AI Evaluator

micro1 AI

Indianapolis, IN โ€ข Remote

$100 - $230/hr

Part-time

Posted 23 days ago


Job description

Job Title: Senior Software Engineer


Job Type: Contractor (~15 hrs a week)


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.


As an expert you will be creating Reinforcement Learning Environments which test and AI modelโ€™s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.




Required Skills and Qualifications:

  1. Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  2. Deep understanding of algorithms, data structures, and performance tuning.
  3. Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  4. Strong background in feature development and codebase refactoring.
  5. Proven ability to optimize software for performance and scalability.
  6. Exceptional written and verbal communication skills, with a keen attention to detail.
  7. Track record of success in collaborative, cross-functional teams, ideally in remote settings.



Preferred Qualifications:

  1. Previous experience working on large-scale, distributed codebases.
  2. Familiarity with modern AI or machine learning systems is a plus, though not required.
  3. Background in participating in rigorous code reviews and contributing to the development of software best practices.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expertโ€™s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24โ€“48 hours of completing onboarding.