Quick answer: Surge AI seeks Senior AI Data Annotators for remote RLHF and evaluation contracts. ₹50K–₹2L/month based on hours and specialization. Bachelor's required, strong English essential. Direct apply via Surge AI careers portal.
Surge AI is hiring senior-level AI data annotators for remote contract work across India. You'll evaluate and improve AI model outputs through RLHF (Reinforcement Learning from Human Feedback) — critical work that shapes how large language models learn. This is a direct, high-impact role for experienced professionals ready to specialize in AI training and evaluation.
You'll need a bachelor's degree and demonstrably strong English writing skills — clear communication is essential when evaluating AI outputs. This is a senior-level role suited for professionals with 3+ years of relevant experience, such as QA, content evaluation, or AI training work. If you've done similar annotation or evaluation work before, you're well-positioned to apply. Surge AI values precision, reliability, and the ability to tackle complex, open-ended AI assessment tasks.
Surge AI pays ₹50,000–₹2,00,000 per month, depending on hours worked and your specialization level. For a senior AI data annotator in India, this range is competitive — aligning with market rates for specialized RLHF and AI evaluation expertise. The salary flexibility reflects Surge AI's contract model: more availability and deeper expertise drive higher pay.
This is a direct online application to Surge AI's career portal — no exam, no intermediary process. Remote contracts mean you can work from anywhere in India, applying at your own pace. The application deadline is 30 June 2026, so move quickly if this role fits your profile. Visit Surge AI's careers page to submit your profile and begin the evaluation process.
AIshala-vetted free courses sequenced for this role. Total prep time: 4 weeks.
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Browse the course ladder section above — these are AIshala-vetted free courses sequenced for this specific role's skills. Estimated total prep time is shown next to each step.
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