Machine Learning Engineers (Environment Design)

AIChamp Inc.; United States; Remote; USD 69,000 - 227,000; Full time

Job summary

AIChamp Inc. is seeking Machine Learning Engineers (Environment Design) to design and build tasks in MLE environments for training AI models. This remote contract role requires 40 hours per week, overlapping with Pacific Time for coordination.

Onboarding is quick and a take-home assessment will be a key evaluation factor in selecting candidates. Selected candidates will work on tasks targeting specific language models with defined difficulty distributions, showing creativity with minimal

Qualifications

• Fluent in Python.
• Experience with ML workflows or coursework/industry experience.
• Ability to work with ML environments and data tasks.
• Onboarding quickly and delivering tasks from day one.
• Strong integrity and high responsibility.

Responsibilities

• Design and build tasks in ML engineering environments to train AI models.
• Contribute to creating reliable MLE tasks with clear evaluation criteria.
• Collaborate with cross-functional teams to meet performance goals.

Skills

Python

ML experience

Job description

Machine Learning Engineers (Environment Design)

Pay: $50/h to $165/h
Hours: 40 hours / week
Location: Remote
Work time: Overlapping with Pacific Time at least 3 hrs/weekday

You will be responsible for designing and building tasks in MLE environments to train AI models to perform MLE tasks.

Outcomes

• Typical completion pace for high quality MLE RL tasks is one task every 3–5 hours.
• Can onboard quickly and start delivering tasks on day one.
• The tasks will target a specific language model and satisfy a given difficulty distribution.
• Environment engineers are responsive and can edit tasks within 24 hours based on customer feedback.
• Environment engineers are expected to be creative and can come up task in their specific domain of Machine Learning tasks with out too much supervision
• Environment engineers have experience doing ML, e.g. via coursework or previous work experience, whether in data preparation, infrastructure, or model training
• Environment engineers are caught up with the current ML ecosystem
• Fluent in Python
• High responsibility and high integrity
• Heavy user of LLMs in their daily work and familiar with their shortcomings

An AI recruiter will ask you about your ML experience to complement your resume. All calls are reviewed by a person, but our AI recruiter allows you to take the interview at your convenience.

Selected candidates will receive a take-home assessment which will be our main evaluation factor for who we select.

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Classification: This is a contract position (1099) unless otherwise required by local laws.
Equal Opportunity: AIChamp values diversity and is an equal opportunity employer.