Artificial Intelligence Engineer (Remote)
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Key skills for this role
About the Role
We are hiring an AI Engineer for a contract (part-time) role to train next-generation AI systems by providing high-quality, real-world input. You will design and optimize LLM solutions using Python, collaborate with cross-functional experts, and develop scalable ML pipelines.
Key Skills for This Role
Responsibilities
- Design, implement, and optimize large language model (LLM) solutions using Python
- 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 to support team and stakeholder decisions
- Stay current with AI advancements and recommend new tools or methodologies
- Communicate complex technical concepts effectively to both technical and non technical stakeholders
Requirements
- Proficiency in Python and experience building/optimizing ML models or pipelines
- Strong understanding of large language models (LLMs) and their applications
- 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 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
Full Job Posting
Role Overview
- 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.
- No prior AI experience is required—your specialized knowledge is the key asset.
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.
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