Screening Senior Engineers to Help AI Learn How to Code
713 applicants. Screened across 3 phases.
Scale AI needed to quickly evaluate a high volume of senior software engineers for a specialized task: training AI models to understand and write code. Traditional manual screening methods were too slow and inconsistent to keep up with demand. Here's how we helped them move fast without compromising quality.
Scale partnered with us to run Al-led interviews at scale. Out of 713 total applicants, the top 322 progressed to an interview phase powered by Talently's Al and the best forwarded to Scale ai. All of this was completed across three phases in under a month.
Talently's Al interviewer evaluated each candidate on:
Role-specific knowledge: Tailored questions based on the job description to assess domain expertise.
Technical and non-technical skills: Measured both hard and soft skills relevant to the role.
Communication proficiency: Scored clarity, coherence, and effectiveness in responses.
Consistency: Reviewed how reliable and aligned responses were across different prompts.
Real-time evaluations: Instant scoring and feedback enabled faster decision-making.
Each interview generated a structured, ranked candidate profile that made it easy to filter for skills, fit, and task readiness.
You tell us what kind of experts you're looking for.
We identify and evaluate candidates using AI-led interviews.
You receive structured profiles, rank candidates, and conduct final interviews if needed.
Your selected experts are ready to start contributing to your model training and evaluation.
We delivered ranked profiles for the top 322 applicants, saving Scale AI's team hours of manual review. Within 30 days, they had a vetted, ready-to-onboard pool of senior software engineers and a smoother recruitment process to support their LLM training efforts.
You might not be operating at Scale's pace, but accuracy and efficiency are just as critical. Whether you're hiring 5 annotators or 200, we help you find the right fit quickly and confidently. Just tell us what matters most, and we'll take it from there.