I will manage handshake, outlier, mercor and data annotation ai training
About this Gig
Don't have time to task on Outlier AI or Handshake AI? Don't let your account go inactive or miss out on daily earnings!
I offer full account management and task execution services. If you have an active account but lack the time, technical skills, or bandwidth to complete the work, I will manage your queue and complete project tasks accurately to maintain high quality scores.
What I Do For You:
Full Task Execution: Complete daily coding, RLHF, prompt evaluation, and model response tasks on your behalf.
Maintain High Quality Scores: Follow strict rubrics to ensure accuracy, clarity, and prevent project drops or flags.
Queue & Task Monitoring: Monitor your account for active project drops, notifications, and new workflows.
Technical Expertise: Experienced in Python, code evaluation, writing, and general AI training rubrics.
Why Choose Me?
Proven RLHF Experience: Deep knowledge of AI training standards and edge-case evaluation.
Reliable & Consistent: Keep your account active, generating revenue, and in good standing.
Transparent Communication: Daily updates on completed tasks and project status.
Technique:
Manual
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FAQ
How does the account management / tasking service work?
You grant me access to task on your Outlier AI or Handshake AI account during agreed-upon hours. I execute coding, prompt evaluations, data annotation, and RLHF tasks directly, ensuring all guidelines and rubrics are strictly followed
Can you guarantee a high quality score and no project drops?
Yes. I have extensive experience with AI model evaluation, prompt engineering, and complex coding rubrics. I follow task instructions meticulously to maintain high quality scores, positive reviewer feedback, and keep your account active in high-paying project pools.
What technical domains can you handle on my account?
I handle both technical and non-technical workflows, including: Software Development / Coding: Python, JavaScript, SQL, API debugging, and code logic evaluation. General RLHF: Multi-turn prompting, fact-checking, response ranking, and preference modeling.
