Remote AI Solutions Architect (Contract)

Toloka

United States

Remote

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Toloka is seeking a Technical Consultant to lead the design and delivery of data labeling pipelines and AI-driven data solutions for enterprise customers. You will serve as a trusted technical advisor, translating client needs into actionable designs and scalable implementations.

You will work closely with customers and Toloka’s commercial and engineering teams, applying your Python, ML, and data-workflow expertise to drive successful outcomes while advocating best practices in data quality and

Qualifications

  • Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager.
  • Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management.
  • Direct experience working with external customers on technical projects.

Responsibilities

  • Act as the primary technical point of contact for customers across technical and executive stakeholders.
  • Design end-to-end data solutions using Toloka’s platform and quality controls.
  • Run experiments and pilots to validate quality, throughput, and cost assumptions.
  • Lead technical execution during delivery, coordinating internal teams and external stakeholders.
  • Drive solutions toward stable operation with minimal ongoing maintenance.

Skills

Python
NLP
Data pipelines
Multi-stage pipelines
Stakeholder management

Tools

NumPy
pandas
FastAPI
Flask

Job description

Toloka is seeking a Technical Consultant to lead the design and delivery of data labeling pipelines and AI-driven data solutions for enterprise customers. You will serve as a trusted technical advisor, translating client needs into actionable designs and scalable implementations.

You will work closely with customers and Toloka’s commercial and engineering teams, applying your Python, ML, and data-workflow expertise to drive successful outcomes while advocating best practices in data quality and

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