AI/ ML Engineer (Remote)
Quik Hire Staffing · United States
- Hybrid
- Part-time
- $150 / year
- United States
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Job highlights
- Evaluate AI-generated content for leading AI companies.
- Write and test AI reasoning prompts on technical problems.
- Assess model accuracy and technical depth in ML/AI.
- Open to professionals with ML, AI, or data science backgrounds.
- Fully remote with flexible hours and competitive pay.
About the role
AI/ ML Engineer (Remote)
We help the world's most innovative AI companies improve their models through human expertise. We're hiring ML and AI professionals, engineers, researchers, scientists, and applied practitioners to evaluate AI-generated technical content, write domain-specific prompts, and assess model accuracy across NLP, computer vision, reinforcement learning, and other ML frontiers. Your evaluations set the benchmark for how leading models reason about machine learning.
What You'll Do
- Evaluate AI-generated content across machine learning, AI, and computer science topics
- Write prompts and questions that test AI reasoning on technical ML and AI problems
- Review and rank AI responses for factual accuracy, technical depth, and domain rigor
- Audit AI chain-of-thought reasoning on complex ML, algorithmic, and research problems
Who Qualifies
You're a strong fit if you have professional experience in one or more of the following:
- Machine learning engineering, AI engineering, or ML software engineering
- Applied science, research science, or AI research
- ML specialty domains, NLP, computer vision, reinforcement learning, deep learning, or generative AI
- Data science, data engineering, or ML-focused data analysis
- Computer science research, statistics, applied mathematics, computational neuroscience, or related technical fields
Preferred Background
- Bachelor's, Master's, or PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
- Experience at a technology company, research lab, AI startup, or university research group
- Strong written English; ability to explain ML and AI concepts clearly and precisely
Compensation & Schedule
- $150/hr rate varies by domain expertise, project complexity, and seniority; top of range reserved for PhD and senior practitioners
- Additional incentives available: contributors earn an average 7.5% extra through Missions, top quartile boosts earnings by an average of 11%
- 100% remote, work from anywhere in eligible locations
- No minimum hours, no fixed schedule, no commitment
Equal Opportunity Statement
Selection decisions are based solely on skills, qualifications, and project requirements. We are committed to inclusive and fair engagement practices and consider all qualified applicants without regard to legally protected characteristics.
Key skills/competency
- AI ML Engineer
- Machine Learning
- Artificial Intelligence
- Natural Language Processing (NLP)
- Computer Vision
- Reinforcement Learning
- Deep Learning
- Generative AI
- Data Science
- Prompt Engineering
Skills & topics
- AI Engineer
- ML Engineer
- Machine Learning
- Artificial Intelligence
- NLP
- Computer Vision
- Reinforcement Learning
- Deep Learning
- Generative AI
- Data Science
- Prompt Engineering
- Remote Work
- Contractor
How to get hired
- Tailor your resume: Highlight machine learning, AI engineering, and specific ML domains like NLP or computer vision. Quantify achievements in model accuracy and content evaluation.
- Showcase your expertise: Emphasize your academic background (Bachelor's, Master's, PhD) and any research experience in AI or related quantitative fields.
- Demonstrate communication skills: Provide examples of your ability to clearly explain complex ML and AI concepts, as mentioned in the preferred background.
- Apply strategically: Highlight relevant experience in evaluating technical content or auditing AI reasoning to align with the role's core responsibilities.
Technical preparation
Review ML/AI concepts: NLP, CV, RL, DL, Generative AI.,Practice writing technical prompts and evaluating AI responses.,Familiarize yourself with chain-of-thought reasoning audits.,Understand model accuracy assessment across ML frontiers.
Behavioral questions
Describe a complex ML problem you solved.,How do you explain technical AI concepts clearly?,Share an experience evaluating technical content.,How do you ensure factual accuracy in your work?
Frequently asked questions
- What is the typical hourly rate for an AI/ ML Engineer at Quik Hire Staffing?
- The hourly rate for an AI/ ML Engineer at Quik Hire Staffing is $150/hr. This rate can vary based on your domain expertise, the complexity of the projects, and your seniority. PhD holders and senior practitioners can expect to be at the top of this range.
- Is this AI/ ML Engineer position remote?
- Yes, this AI/ ML Engineer position is 100% remote. You can work from anywhere within the eligible locations, which include the United States, Canada, Puerto Rico, United Kingdom, Australia, New Zealand, Mexico, and Argentina.
- What kind of AI models will I be evaluating as an AI/ ML Engineer?
- As an AI/ ML Engineer, you will evaluate AI-generated content across various ML frontiers, including Natural Language Processing (NLP), computer vision, reinforcement learning, deep learning, and generative AI. Your role involves assessing model accuracy and reasoning.
- What educational background is preferred for this AI/ ML Engineer role?
- While professional experience is key, a preferred background includes a Bachelor's, Master's, or PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative field. Experience in tech companies, research labs, or university research groups is also valued.
- Are there minimum hour commitments for this remote AI/ ML Engineer role?
- No, there are no minimum hours, fixed schedules, or commitments required for this AI/ ML Engineer position. This offers a high degree of flexibility to work around your existing schedule.
- How can I increase my earnings as an AI/ ML Engineer at Quik Hire Staffing?
- Beyond the base hourly rate, you can increase your earnings through additional incentives like 'Missions,' where contributors earn an average of 7.5% extra. Top performers can boost their earnings even further.
- What specific ML domains are most relevant for this AI/ ML Engineer position?
- The role is particularly interested in candidates with experience in ML specialty domains such as NLP, computer vision, reinforcement learning, deep learning, or generative AI. Expertise in these areas will be highly valued.
- Does Quik Hire Staffing offer opportunities for AI/ ML Engineers with a background in data science?
- Yes, candidates with experience in data science, data engineering, or ML-focused data analysis are considered strong fits for this AI/ ML Engineer role.