AI Engineer
Listing checked September 2, 2026 · pay as published by micro1
Overview
As an AI Engineer at micro1, you'll play a hands-on role in shaping how next-generation AI systems learn, reason, and perform. Your domain expertise — even without a formal AI background — will be the key ingredient for training models on real-world, high-quality data. Bring your strong engineering and cloud skills, and we'll provide the platform to deploy and scale impactful machine learning solutions.
What You'll Do7
- 1Design, build, and fine-tune machine learning models for production, ensuring they are robust and performant.
- 2Automate the full ML lifecycle — from data preprocessing to deployment — using CI/CD pipelines and best practices.
- 3Leverage AWS services to create scalable infrastructure and deploy models efficiently.
- 4Orchestrate containerized workloads with Kubernetes to guarantee high availability and seamless scaling.
- 5Partner with data scientists, engineers, and researchers to turn complex business challenges into actionable ML solutions.
- 6Analyze and prepare real-world datasets to frame problems effectively for machine learning applications.
- 7Document your approach, findings, and technical decisions clearly to enable smooth collaboration and knowledge sharing.
Requirements7
- 1Proven track record designing, developing, and deploying machine learning algorithms in production settings.
- 2Strong programming skills in Python or Java, with experience building large-scale software projects.
- 3Deep familiarity with CI/CD workflows and automation tools for efficient delivery.
- 4Hands-on expertise with AWS cloud services for ML pipelines and data processing.
- 5Advanced knowledge of Kubernetes to orchestrate and manage containerized ML workloads.
- 6Excellent written and verbal communication skills, especially for technical documentation and cross-team collaboration.
- 7Demonstrated ability to scope and solve complex, ambiguous real-world data problems.
Who Should Apply
We're looking for engineers who bring deep domain expertise — whether in healthcare, finance, logistics, or another field — and combine it with solid engineering chops. You should be comfortable owning the full stack of ML deployment, from building models to managing cloud infrastructure. If you're curious, collaborative, and eager to influence how AI learns from the real world, this role is for you.
Salary Insight
Compensation ranges from $30 to $130 per hour, depending on experience and domain expertise.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
$30–$130/hr
Most AI Training roles pay $44–$96 per hour. This role's pay falls inside that range.
Based on 1,136 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,308
- Listed in last 30 days
- 712
- Remote
- 96%
Hiring most right now: micro1 (389) · SME Careers (254) · Mercor (175)
Most requested skills · share of roles
- ai evaluation12%
- ai training12%
- llm evaluation11%
- data annotation9%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
$30–130/hr
Required Skills
Application Tip
In your cover letter or resume summary, highlight a specific domain where your expertise has solved a real-world problem — even if it didn't involve AI. Micro1 values domain knowledge over AI experience, so make that connection clear.
How NearSkill helps you apply
1. Check your job match
We compare your resume with the job requirements to help you understand how well your experience fits.
2. Continue to the employer’s website
We’ll direct you to the employer’s application portal, where you can complete the application.
3. Get updates by email
If NearSkill is handling follow-up for this role, we’ll email you when there’s an update on your screening.
Want to check your fit first?
See how your resume matches this role before applying.
Check my job matchSimilar open positions
Explore active roles that match your skills and interests.
micro1
VerifiedData Engineer
As a Data Engineer at micro1, you will build and scale the data infrastructure that powers AI-driven products and research. You will develop distributed data pipelines, manage large-scale datasets across cloud environments, and design reliable data systems that support data processing, experimentation, and model development at scale. The role involves working with Python, SQL, Spark, and AWS to create robust data solutions. You will collaborate with AI researchers, data scientists, and engineering teams to support data-intensive applications.
micro1
VerifiedAI/ML Engineer
At micro1, you’ll shape mission-critical government-focused ML initiatives while building our proprietary AI infrastructure. You’ll work with large language models, retrieval-augmented generation, and multi-agent systems to deliver secure, scalable machine learning solutions. Expect collaboration with cross-functional teams and exposure to frontier AI platforms and agentic tooling. Python, LLMs, RAG, and AWS power the work you’ll do daily.
micro1
VerifiedFullstack Engineer
As a Fullstack Engineer at micro1, you'll bring your coding expertise to the forefront of training next-generation AI systems. No prior AI background is needed — your practical knowledge in building and deploying full-stack solutions is what truly matters. You'll collaborate remotely with a customer's team to translate requirements into scalable, real-world applications.
micro1
VerifiedData Engineer
As a Data Engineer at micro1, you'll play a key role in powering the next generation of AI systems by building and maintaining the data infrastructure that fuels their learning. This is a fully remote contract role where your work on scalable ETL pipelines and Python code will directly impact how models reason and perform. If you’re a self-motivated engineer who thrives on solving complex data challenges and wants to see your contributions shape cutting-edge AI, this is your opportunity.
micro1
VerifiedAI/ML Engineer
This role is your chance to directly influence the next generation of artificial intelligence by contributing real-world expertise. You'll design and deploy machine learning models that solve complex business problems, working remotely with a collaborative team. Your specific domain knowledge is valued more than prior AI experience, making this an opportunity to apply your skills in a cutting-edge context.
micro1
VerifiedData Scientist
As a Data Scientist with micro1, you'll play a hands-on role in refining the next generation of AI systems. Your core responsibility is to apply your analytical expertise — from statistics and data modeling to visualization — to help models learn and reason more effectively. No prior AI experience is required; your domain knowledge and data craft are what truly matter.