u/Direct-Look4701

Job Title: AI/ML Engineer

Location: Remote

Company: Honovix AI

Salary: $3000-$4000.

Job Description:

• Design and implement scalable data curation and synthetic data generation pipelines that feed post-training workflows for large language models.
• Build and optimize training infrastructure for fine-tuning and post-training runs, including RL-based training loops (RLHF, RLAIF, DPO, and beyond).
• Develop and benchmark specialized models targeting factual grounding, structured reasoning, chart understanding, and other high-value tasks.
• Own inference optimization, latency, throughput, and memory efficiency matter as much as accuracy metrics.
• If you love working on Agentic systems this job is for you.

 

Work Hours

• Should be available to work Eastern Time Zone at the minimum. 
• Remaining work hours are flexible

Important Notes

• Looking for long term collaboration. 
• Ideal for candidates who can commit consistent daily time and are not currently overloaded with other full-time commitments

Goal of the Role
Over time, you will take full ownership of workflows and operate independently. Compensation will grow with your ability to manage and deliver without supervision.

Note:

This is not for someone who is based in the US because obviously this compensation is too low for you.

Nature of Work

• Document processing, OCR, and data extraction
• Building and maintaining Python-based pipelines
• Working with FastAPI, Celery, Redis, Docker
• All work is performed on a remote US-based machine

Work Hours

• Should be available to work Eastern Time Zone at the minimum. 
• Remaining work hours are flexible

Who This Role Is For

• At least 5 years of experience
• Strong self-learners who can work independently
• Candidates looking for long-term growth and ownership

Requirements

• Understanding of APIs and backend concepts (preferred)
• Interest in OCR / document AI
• Strong problem-solving and debugging ability
• Good communication and reliability

Expectations

• During the initial phase, you should be willing to invest additional time to learn the system and ramp up quickly
• Consistent availability during required overlap hours

Compensation

• $3000-$4000 or more if you prove that you are good.

 

Important Notes

• Looking for long term collaboration. 
• Ideal for candidates who can commit consistent daily time and are not currently overloaded with other full-time commitments

Goal of the Role
Over time, you will take full ownership of workflows and operate independently. Compensation will grow with your ability to manage and deliver without supervision.

Salary: $20-$30 per hour. Negotiable after few months.

Task:

• Design and implement scalable data curation and synthetic data generation pipelines that feed post-training workflows for large language models.
• Build and optimize training infrastructure for fine-tuning and post-training runs, including RL-based training loops (RLHF, RLAIF, DPO, and beyond).
• Develop and benchmark specialized models targeting factual grounding, structured reasoning, chart understanding, and other high-value tasks.
• Own inference optimization, latency, throughput, and memory efficiency matter as much as accuracy metrics.

Location: Remote
Message me here if interested.

Location: Asia Based