Generalist

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $50 - $90 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Analyze, evaluate, and annotate a variety of data sets to support AI system training and validation • Deliver clear, high-quality written input and feedback based on project requirements • Review, refine, and improve model outputs to ensure relevance and accuracy • Engage in problem-solving tasks across multiple domains • Follow project guidelines and participate in quality assurance processes • Communicate findings and insights through written and verbal channels • Provide valuable insights to help train next-generation AI systems

🎯 Requirements

• No prior experience in AI is required • Exceptional command of written and spoken English • Strong critical thinking and analytical skills • Proven ability to deliver precise, detail-oriented work in independent and collaborative settings • Experience with any type of data labeling or annotation projects is a plus, but not required • Comfort working in a fully remote, digital-first environment • Strong commitment to fulfilling project requirements on time and to a high standard