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Solutions Engineer (AI Services)

TaskUs
Remote, USA
Full-time
Mid · 4+ years experience
Remote
USD 97000-145000 yearly / year
Discovered 1 months ago
Proof of Concept (POC)Statements of Work (SOWs)

Full Job Posting

  • Model Evaluation & Red Teaming: Developing rigorous testing methodologies to identify and mitigate risks, including prompt injections, hallucinations, and safety vulnerabilities.
  • Data Strategy & Collection: Architecting large-scale data acquisition programs to support high-performance model development.
  • Precision Annotation & Labeling: Designing custom annotation schemas and human-in-the-loop (HITL) workflows to optimize model accuracy and alignment.
  • AI Safety Frameworks: Implementing guardrails and benchmarking systems that ensure compliance with emerging global AI standards.
  • Lead the end-to-end technical discovery process to design bespoke AI safety and development engagements, including red teaming, data collection, and expert labeling.
  • Collaborate with Sales + Service Line Leadership to navigate complex sales cycles within the Global 2000, acting as the technical authority to secure the "technical win."
  • Partner with internal Product and Engineering teams to translate client requirements into actionable Statements of Work (SOWs), ensuring operational feasibility and resource alignment.
  • Consult on advanced LLM workflows, providing expertise on model training, fine-tuning methodologies, and comprehensive evaluation metrics.
  • Partner with internal teams to architect model configurations that balance performance, safety, and cost, providing precise estimates of inference spend as part of the overall pricing strategy.
  • Architect robust adversarial testing (red teaming) and guardrail strategies to identify and remediate risks such as bias, toxicity, and prompt injection.
  • Work closely with Finance and Operations to develop pricing structures for large-scale data and safety projects, balancing competitive positioning with internal margin targets.
  • Act as the primary technical interface for C-suite and technical stakeholders, delivering high-impact presentations and managing Proof of Concept (POC) success criteria.
  • Mid-level experience (4 - 7 years) in Data Science or Machine Learning, with a specific focus on the training and evaluation of Large Language Models.
  • Proven experience supporting large-scale technical sales to global organizations, with a deep understanding of enterprise security, privacy, and procurement standards.
  • A strong professional interest or background in AI Alignment and Safety
  • Ability to move beyond "off-the-shelf" features to create multi-pillar service offerings that address unique client data and safety needs.
  • Exceptional ability to bridge the gap between highly technical engineering teams and non-technical business executives.
  • Strong project management skills with the ability to manage multiple complex workstreams and internal stakeholder interests simultaneously.
  • The position is remote.

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