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How much do ai tasker jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai tasker in the United States is $51.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $58.17 per hour, depending on experience, location, and employer.

What is the easiest AI Tasker job to get?

The easiest AI Tasker jobs are typically entry-level tasks such as data labeling, content moderation, or simple data entry, which often require minimal experience and can be completed remotely. These roles usually involve following clear instructions and may require basic computer skills or familiarity with AI tools. They are often available through online platforms that connect freelancers with short-term or micro-tasks.

What are the key skills and qualifications needed to thrive as an AI Tasker?

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?

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 does an AI Tasker do?

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.

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Ai Tasker jobs near you
Infographic showing various Ai Tasker job openings in the United States as of August 2026, with employment types broken down into 69% Full Time, 28% Part Time, and 3% Contract. Highlights an 76% In-person, 3% Hybrid, and 21% Remote job distribution, with an average salary of $107,501 per year, or $51.7 per hour.

CFD Engineer - AI Task Designer Remote (OpenFOAM)

Alignerr

Remote

$80 - $110/hr

Contractor

Re-posted 29 days ago

Job description

CFD Engineer - AI Task Designer
About the Role
What if your expertise in computational fluid dynamics could teach AI to reason about aerodynamics, boundary conditions, and flow physics - without you ever having to write a single line of machine-learning code?
We're looking for CFD engineers and aerodynamicists to design small, well-defined engineering challenges that train and evaluate AI models on real fluid-dynamics reasoning. Each task you create has three parts: a clear problem statement, a deterministic checker that scores the model's answer, and a trusted reference solution that proves the task is solvable. Think of it as writing bite-sized CFD exam problems - grounded in physics, unambiguous, and automatically gradable.
No reinforcement-learning or AI research background is required. What matters is your hands-on simulation experience and your ability to translate domain knowledge into precise, solvable tasks.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week

What You'll Do
  • Design compact, self-contained CFD and aerodynamics tasks that test an AI model's engineering reasoning
  • Write clear, unambiguous problem statements covering topics such as boundary-condition selection, mesh quality assessment, flow-regime identification, and simulation setup
  • Develop deterministic scoring checkers that can automatically evaluate a model's final answer
  • Provide verified reference solutions that confirm each task is solvable and correctly scored
  • Review and iterate on tasks to ensure physical accuracy, clarity, and appropriate difficulty
  • Draw on your experience with OpenFOAM to ground tasks in real-world practice
  • Work independently and asynchronously - fully on your own schedule

Who You Are
  • Hands-on experience with OpenFOAM
  • Solid foundation in fluid mechanics, aerodynamics, and heat transfer fundamentals
  • Comfortable with mesh generation, turbulence modeling, boundary-condition specification, and post-processing
  • Able to formulate engineering problems that are precise, self-contained, and objectively verifiable
  • Strong written communication skills - you can explain complex physics clearly and concisely
  • Background in Aerospace Engineering, Mechanical Engineering, or a closely related discipline (BS or higher preferred)
  • Self-motivated and reliable when working independently without supervision

Nice to Have
  • Experience across multiple CFD solvers or multiphysics platforms
  • Familiarity with scripting or automation (Python, Bash, MATLAB) for setting up or post-processing simulations
  • Exposure to design optimization, flow-control strategies, or adjoint methods
  • Graduate-level coursework or research in aerodynamics, propulsion, or computational methods at institutions such as IITs, IISc, or NITs
  • Previous experience writing technical assessments, exam problems, or engineering challenges
  • Interest in how large language models reason about STEM problems

Why Join Us
  • Apply your CFD expertise to cutting-edge AI research alongside leading labs - from a completely new angle
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based work
  • No need to retrain as a data scientist - your engineering judgment is exactly what's needed
  • Contribute directly to teaching AI models real-world physical reasoning
  • Potential for ongoing work and contract extension as new projects launch

Apply