Research Engineer, Synthetic Data

Job not on LinkedIn

🔥 38 minutes ago

🌐 United States, Singapore – Remote

🇺🇸 United States – Remote 🇸🇬 Singapore – Remote

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📚 Research Engineer

👻 Ghost score 13%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 33 days.
• No salary listed.

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Pragmatike

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💼 Consulting

📣 Marketing

🎯 Recruiter

Consulting • Marketing • Recruitment

Pragmatike is a remote IT recruitment and staffing company that sources, vets, and places international tech talent for businesses. They provide human-curated matching (not solely AI), technical assessments, and fast placements—claiming qualified specialists can be introduced within 48 hours—while handling onboarding, invoicing and international payroll. Pragmatike serves startups and enterprises with roles like developers, data engineers, mobile and game developers, product managers and specialists, operating across 60+ countries with a large vetted talent pool.

📋 Description

• Work with subject-matter experts to create synthetic tasks for training AI agents across professional and technical domains • Design synthetic task-generation methods producing diverse, realistic and learnable tasks • Build systems and tooling to mutate, validate and improve synthetic tasks • Analyse model and agent performance on synthetic tasks • Develop metrics for synthetic task diversity, realism, learnability and related qualities • Take synthetic data pipelines from early research through to reliable systems • Design tasks and systems that generate training data at scale • Turn domain-specific workflows into realistic, measurable and usable training tasks • Improve tasks based on model and agent failures

🎯 Requirements

• Proficiency in Python, Docker and Linux environments • Experience with synthetic data research methods • Strong understanding of what “good synthetic data” means and its limitations • Experience building synthetic data pipelines end to end • Experience working on environments, evals or benchmarks • Clear written and spoken English • Comfort collaborating remotely across time zones • Ability to identify subtle inconsistencies and edge cases in synthetic data • Ability to reason from first principles about task design, scoring and failure modes • Comfort working in unstructured problem spaces or early-stage environments • Ability to overlap approximately 70–80% with San Francisco (US Pacific) or Singapore business hours • Technical aptitude and learning potential; years of experience are not specified as a requirement

🏖️ Benefits

• Full-time role • Remote work option for candidates in Singapore or US Pacific time zones • On-site work option in San Francisco or Singapore • Flexible daily schedule agreed during hiring • Equal employment opportunity and inclusive hiring process

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