Yoanna Tsvetkova
Yoanna Tsvetkova

Technical Recruiter

Open to offers · Member since 22 Oct 2026
Location
Sofia, Bulgaria
Desired salary
1200–1400 EUR/monthly
Work preference
Remote Only / Full Time
Experience level
Mid

About

Professional summary

I am a technical recruiter specializing in AI/ML, software engineering, and product engineering roles for early-stage through growth-stage US startups.

I manage full-cycle recruitment, including candidate sourcing, outreach, screening, submissions, interview coordination, feedback collection, and offer support.

I partner closely with hiring managers and founders to calibrate role requirements, assess candidate fit, and build strong talent pipelines across concurrent searches.

My background in AI data annotation gives me a practical understanding of LLM behavior, model evaluation, prompt-response patterns, and technical candidate evaluation.

I bring a transparent, human-centered communication style shaped by experience in both recruitment and high-volume customer support environments.

I am based in Sofia, Bulgaria, work remotely in EU time zones, and support distributed teams and international hiring processes.

Notice period: Immediately

Skills

10 capabilities

Tech stack & tools

Working toolkit

Development

Languages & Frameworks

Experience

Career history

Technical Recruiter (Talent Partner) Digitanity

Source, screen, and place software engineers, AI/ML engineers, and product engineers for US-based startups from seed through growth stage.

Manage full-cycle recruiting activities including outreach, screening calls, candidate submissions, interview coordination, feedback collection, and offer support. Partner directly with hiring managers and founders to calibrate role requirements and candidate profiles.

Build and maintain candidate pipelines across multiple concurrent searches while delivering a transparent candidate experience from initial outreach through offer.

AI Annotator Invisible Technologies

Evaluated AI model outputs for accuracy, relevance, and instruction-following against detailed rubrics while maintaining quality standards across high-volume tasks.

Wrote structured feedback and rationale for flagged outputs to improve model behavior and reduce recurring errors. Worked independently in an asynchronous remote environment while consistently meeting volume and quality targets.

Developed practical familiarity with LLM behavior, prompt-response patterns, and evaluation criteria, applying this technical context to AI/ML candidate screening.

Customer Support Representative ResultsCX

Handled high-volume inbound customer inquiries through phone, chat, and email while meeting customer satisfaction targets.

De-escalated frustrated customers, translated complex issues into clear next steps, and documented interactions and recurring issues for the team.

Balanced independent work with real-time coordination in a hybrid team environment and contributed feedback to support process improvement.

Education

Learning history
No education data available.

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