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Ai Tasker Jobs in Tennessee (NOW HIRING)

micro1 AI

Software Engineer - AI Trainer

Memphis, TN · Remote

$100 - $230/hr

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 ...

micro1 AI

Software Engineer - AI Trainer

Nashville, TN · Remote

$100 - $230/hr

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 ...

micro1 AI

Software Engineer - AI Coding Expert

Memphis, TN · Remote

$100 - $230/hr

No prior experience in AI is required -- your domain knowledge is what matters. We are seeking ... You will be tasked with creating a reproducible environment and golden reference solution for the ...

micro1 AI

AI Software Engineering Consultant

Memphis, TN · Remote

$100 - $230/hr

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 ...

micro1 AI

Engineering AI Evaluator (PhD)

Nashville, TN · Remote

$80 - $90/hr

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 ...

micro1 AI

Engineering AI Evaluator (PhD)

Memphis, TN · Remote

$80 - $90/hr

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 ...

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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 Tennessee? The most popular types of Ai Tasker jobs in Tennessee are:
What are popular job titles related to Ai Tasker jobs in Tennessee? For Ai Tasker jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Ai Tasker jobs in Tennessee look for? The top searched job categories for Ai Tasker jobs in Tennessee are:
What cities in Tennessee are hiring for Ai Tasker jobs? Cities in Tennessee with the most Ai Tasker job openings:
Ai Tasker jobs near you
Infographic showing various Ai Tasker job openings in Tennessee as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution.
AI Software Engineering Consultant

AI Software Engineering Consultant

micro1 AI

Nashville, TN • Remote

$100 - $230/hr

Part-time

Posted 26 days ago

Job description

Job Title: Software Engineering


Job Type: Contractor (10-15 hours per week)

Location: Remote


Job Summary:


We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.


On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security vulnerabilities in code. Your task will be to create a reproducible RL env in which a known CVE is present/injected in the repository and must be fixed by the model.


As an expert you will be creating Reinforcement Learning Environments which test and AI model’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. 3+ years of hands-on software engineering experience.
  2. Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, , Java, C++, Go or Rust
  3. A Cybersecurity/SecOps background or exposure is highly preferred
  4. Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
  5. Ability to explain complex engineering decisions clearly and objectively.
  6. Comfortable reading and reasoning through unfamiliar code or technical requirements


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 expert’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 24–48 hours of completing onboarding.


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