What the buyer needs
AI summaryUNDP seeks a national AI Technical Evaluation Expert to support the technical evaluation of proposals for an AI-powered parliamentary language intelligence and transcription platform under the Lebanese Elections Assistance and Parliament Support Project. The consultant will review technical proposals, assess proposed offline and on-premises architectures, participate in scoring and evaluation committee discussions, and sign the final evaluation report. Eligible candidates must have at least six years of relevant professional experience in artificial intelligence, machine learning, or related fields, and work will be performed offsite. Applicants may submit offers digitally via email or online, including a personal CV detailing past experience from similar projects and contact information. UNDP will award the contract to the candidate with the highest combined score across academic qualifications, years of relevant experience, and specialized speech technology expertise. The assignment runs for one month from contract signature for a maximum of seven working days at a daily rate of USD 300, up to USD 2,100 total.
Scope of work
- Review bidders' technical proposals and supporting documentation against RFP/TOR requirements and evaluation criteria.
- Assess proposed AI architecture, models, and technologies, including ASR, Arabic language processing, and speaker diarization.
- Evaluate feasibility and adequacy of proposed offline/on-premises architecture, deployment approach, data preparation, and training methodologies.
- Participate in technical evaluation and scoring of proposals according to approved evaluation criteria and methodology.
- Provide technical inputs and justifications for assigned scores, identifying gaps, inconsistencies, risks, or clarification areas.
- Support preparation and assessment of technical clarification questions and participate in evaluation committee discussions.
- Support preparation and finalization of the technical evaluation report and review bidders' responses to clarifications.
- Review and sign the final evaluation report and provide a concise technical note summarizing findings.
How proposals are evaluated
| Criterion | Weight / scoring |
|---|---|
| Criteria A: Academic qualifications | 20 points |
| Criteria B: Years of Relevant Professional Experience | 40 points |
| Criteria C: Specialized AI/Speech Technology Expertise | 40 points |
Minimum qualifications
- Master's degree in Artificial Intelligence, Machine Learning, Computer Science, Computer Engineering, Data Science, or related field.
- Minimum 6 years of relevant professional experience in AI, machine learning, speech technologies, or natural language processing.
- Fluency in Arabic and English.
- Experience in ASR/speech recognition, NLP/language models, speaker diarization/identification, Arabic-language AI, or on-premises AI deployment.
Documents to include with your response
- Personal CV indicating all past experience from similar projects and contact details
- Passport/ID
- Confidentiality, impartiality, and conflict-of-interest declarations (prior to accessing proposals)
