AI Technical Evaluation Expert

About the role

The UNDP Lebanese Electoral Assistance and Parliament Support Project (LEAPS) is procuring an AI-powered parliamentary language intelligence and transcription platform. Because the procurement is highly technical, UNDP needs an AI Technical Evaluation Expert to review and score the technical proposals. The consultant works from home, under the supervision of the UNDP Governance and Rule of Law CTA, and completes the task in about one month (7 working days).

Key responsibilities

• Review bidders' technical proposals and supporting documents against the RFP/TOR requirements and evaluation criteria.
• Assess the proposed AI architecture, models and technologies, including ASR, Arabic language processing, speaker diarization and identification, Lebanese-to-Formal-Arabic conversion, model fine-tuning and continuous learning.
• Evaluate the feasibility of the proposed offline/on-premises architecture, deployment approach, data preparation, training methods and implementation arrangements.
• Take part in the technical evaluation and scoring, assess the soundness and completeness of proposed methodologies and the qualifications of proposed AI and technical personnel.
• Provide technical inputs and justifications for scores, identify gaps, inconsistencies and risks, and support clarification questions and evaluation committee discussions.
• Support the preparation of the technical evaluation report, review responses to technical clarifications, and review and sign the final evaluation report with a technical note on key findings, risks and observations.

Required profile

• Master's degree in Artificial Intelligence, Machine Learning, Computer Science, Computer Engineering, Data Science or a related field.
• At least 6 years of relevant professional experience in AI, machine learning, speech technologies, natural language processing or related fields.
• Fluency in Arabic and English.
• Ability to provide an unpaid leave of absence if currently employed by a government institution.

Applicants submit their CV or P11 form with three references and a graduation certificate online in PDF, using English only. Only shortlisted candidates will be contacted.