Artificial Intelligence Engineer (Remote)
Hire Feed · United States
- Hybrid
- Contract
- $120,000 / year
- United States
Job highlights
- AI Engineer role for LLM development.
- Apply specialized domain knowledge to AI training.
- Utilize Python for ML model optimization.
- Collaborate globally with AI experts.
- Flexible part-time contract with remote work.
About the role
Role: Artificial Intelligence Engineer (Remote)
We are hiring for one of our clients, seeking an AI Engineer to work on a contract (part-time) basis. This role involves applying domain expertise to train next-generation AI systems by providing high-quality, real-world input that shapes how models learn, reason, and perform. The work directly contributes to the development of frontier AI models across domains such as finance, healthcare, engineering, and more. No prior AI experience is required—your specialized knowledge is the key asset. This is a unique opportunity to participate in the human intelligence layer that powers AI advancements globally.
Key Responsibilities:
- Design, implement, and optimize large language model (LLM) solutions using Python to meet project requirements.
- Collaborate with cross-functional experts to identify and solve real-world AI challenges in targeted domains.
- Develop scalable machine learning pipelines for training, fine-tuning, and inference of AI models.
- Evaluate AI model performance, troubleshoot issues, and propose data-driven improvements.
- Document technical processes, results, and evaluations with clarity to support team and stakeholder decisions.
- Stay current with AI advancements and recommend new tools or methodologies to enhance team capabilities.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
Required Skills & Qualifications:
- Proficiency in Python and experience using it to build and optimize machine learning models or pipelines.
- Strong understanding of large language models (LLMs) and their applications in real-world systems.
- Familiarity with machine learning concepts, including training, fine-tuning, inference, and evaluation.
- Ability to analyze model performance and troubleshoot issues using structured evaluation methods.
- Experience documenting technical work clearly and concisely for diverse audiences.
- Demonstrated ability to collaborate across teams and communicate technical ideas effectively.
- Background in a specialized domain (e.g., finance, healthcare, engineering) relevant to AI training data or evaluation.
More About the Opportunity:
This role offers a distinctive opportunity to contribute directly to the development of frontier AI models through real-world expertise. You will work within a global network of top-tier talent, leveraging an AI-powered platform to scale your impact. The position provides exposure to cutting-edge reinforcement learning environments and high-quality feedback loops that shape AI reasoning. It is ideal for professionals seeking meaningful, flexible work that connects their domain knowledge to the future of AI.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Key skills/competency:
- Artificial Intelligence Engineer
- Large Language Models (LLMs)
- Python
- Machine Learning
- AI Model Training
- Data Analysis
- Model Evaluation
- Technical Documentation
- Cross-functional Collaboration
- Domain Expertise
Skills & topics
- Artificial Intelligence Engineer
- AI
- Machine Learning
- LLM
- Python
- Remote Work
- Contract
- Part-time
- Data Science
- Engineering
How to get hired
- Tailor your resume: Highlight Python, LLM, and domain expertise.
- Showcase collaboration: Emphasize teamwork and communication skills.
- Demonstrate problem-solving: Detail your analytical and evaluation abilities.
- Prepare for technical questions: Review LLM concepts and Python for ML.
- Express domain knowledge: Clearly articulate your specialized field's relevance.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the work arrangement for an Artificial Intelligence Engineer at Hire Feed?
- The Artificial Intelligence Engineer role is fully remote, allowing you to work from anywhere. This offers flexibility for professionals seeking meaningful work aligned with their domain knowledge.
- Do I need prior AI experience to be an Artificial Intelligence Engineer?
- No, prior AI experience is not required. Your specialized domain knowledge in areas like finance, healthcare, or engineering is the key asset for training next-generation AI systems.
- What programming language is primarily used for this Artificial Intelligence Engineer role?
- Python is the primary programming language used for designing, implementing, and optimizing large language model (LLM) solutions and machine learning pipelines in this role.
- What is the compensation for an Artificial Intelligence Engineer at Hire Feed?
- The compensation for this Artificial Intelligence Engineer position is between $70 and $120 per hour, reflecting the specialized skills and contract nature of the role.
- How does Hire Feed ensure diversity in its hiring for Artificial Intelligence Engineers?
- Hire Feed is an Equal Opportunity Employer, hiring solely based on skills and expertise. All qualified candidates are welcome, irrespective of background or prior employment history.
- What are the key responsibilities of an Artificial Intelligence Engineer?
- Key responsibilities include designing LLM solutions, collaborating on AI challenges, developing ML pipelines, evaluating model performance, documenting processes, and communicating technical concepts effectively.
- What kind of AI models will I be working with as an Artificial Intelligence Engineer?
- You will be working with next-generation AI systems and large language models (LLMs), contributing to their learning, reasoning, and performance across various domains.