Research Engineer

🔥 1 hour ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📚 Research Engineer

👻 Ghost score 10%

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Turing

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2018

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Turing is a leading company in the field of artificial intelligence, specializing in the advancement of AGI (Artificial General Intelligence) and the evaluation and training of large language models (LLMs). Turing offers a comprehensive range of AI solutions, including model performance assessments, multimodal capabilities integration, and custom engineering for enterprises looking to optimize their AI operations. The company bridges cutting-edge AI research with practical applications, empowering organizations to leverage advanced AI for various real-world challenges.

📋 Description

• Translate ambiguous research goals into clear data requirements, including target skills, failure modes, difficulty calibration, coverage, and success metrics • Create rubrics, counterexamples, and boundary cases defining data quality standards • Audit produced data for subtle errors, reward hacking, leakage, ambiguity, inconsistent assumptions, and distribution shifts • Drive iterative improvements using error taxonomies, slice-based quality metrics, and model-behavior-informed refinements • Design and build task suites, ground-truth signals, environment interfaces, datasets, and RL environments • Implement automated validation and filtering, including deduplication, decontamination, leakage checks, consistency checks, and difficulty/diversity controls • Develop synthetic data generation and augmentation pipelines, including task generators, hard negatives, scenario templates, and simulator/tool-driven rollouts • Create dataset documentation and data cards • Design and run evaluations reflecting customer usage • Analyze pre/post capability slices, error breakdowns, failure narratives, and data-attribute ablations • Run fine-tuning or RL-style experiments, or partner with research, to demonstrate measurable model improvements • Collaborate with engineers, researchers, QAs, domain SMEs, and large-scale data production teams • Provide clear specifications, examples, edge cases, quantitative feedback loops, and structured quality reviews • Review and improve annotation/creation outputs without primarily owning hiring, staffing, or people operations

🎯 Requirements

• 4–5 years of experience building or improving deep learning systems where data quality mattered materially • Strong intuition for data collection, filtering, synthesis, and measurement for model improvements • Ability to communicate clearly with researchers and engineers • Extremely detail-oriented diagnosis of subtle data quality issues and failure modes • Python proficiency required • Comfort with SQL/structured data workflows strongly preferred • Proficiency in one or more major programming languages such as C++, Java, Go, Rust, or JS/TS is a plus for coding-focused work • Experience with rubrics, validation scripts, gold sets, sampling strategies, statistical checks, slice-based evaluation, and human-in-the-loop review loops • RL or post-training experience is a strong plus • Experience with agentic evaluation is a strong plus • Multimodal expertise is a strong plus • STEM depth is a strong plus • Modern embodied AI/VLM-driven agent experience is a strong plus • Systems thinking and ability to design tasks reflecting real-world constraints and workflows is a strong plus

🏖️ Benefits

• Direct work with leading AI labs and enterprises at the cutting edge of post-training and RL environment design • Opportunity to contribute to leading-edge AI research and showcase work at conferences such as ICLR, ICML, and NeurIPS • Collaboration and learning with exceptional colleagues from Google, Meta, Amazon, and other leading technology companies • High autonomy, rapid iteration, and an exceptional learning curve • Startup-speed environment with ownership and impact • Equal opportunity, diverse, inclusive, and authentic workplace

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