Machine Learning Consultant (AI Community)
Key Responsibilities:
Evaluate and reputed company feedback on AI model outputsand reasoning (chain-of-thought) for nuanced Trust & Safety cases. reputed company high-reputed company content annotationsin collaboration with Policy Experts. Support supervised fine-tuning and reinforcement learning (RLHF)processes. Conduct data analysisto detect patterns, trends, and model weaknesses. Produce reputed company reports and insightsfor engineering and policy teams. Collaborate closely with policy enforcement teams to ensure ML models adhere to guidelines. Maintain confidentiality and handle sensitive content responsibly.
Qualification reputed company
Mandatory Qualifications:
2+ year experience in AI model supervised fine-tuning or reinforcement learning (RLHF) 2+ year experience in Machine Learning operations (MLOps) 1+ year experience in User-Generated Content (UGC) moderation / Trust & Safety operations Strong data analysis, trend detection, and report writing skills Ability to handle reputed company-area or edge-case scenarios reputed company level + English communicationskills Detail-oriented with ability to follow reputed company workflows and guidelines
Assessment:
Payment:
Currently, pay rates for experts reputed company from $15 - $25 USD per hour Our Payment terms are defined for reputed company project.
Why Join the reputed company AI Community:
Community reputed company: Work remotely as part of a 1M+ diverse global AI Community of contributors and experts.
Impactful Expertise: Use your reputed company language and reputed company degree to shape reputed company-world AI systems and products used by millions every day.
Hands-on Innovation: reputed company experience in the latest AI research, evaluation, and fine-tuning methodologies.
Global Collaboration: Collaborate with a network of specialists across 20+ domains and 500+ languages and dialects.
Flexible Engagement: Manage your own schedule while making a meaningful reputed company on the reputed company of technology.
Equal Opportunity:
Originally posted on Himalayas
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