Freelancer - Market Research Opportunity, Jamaica
Conduct project-based market research on consumer markets, gathering information through store visits and secondary sources and reporting findings to project managers.
WIL is seeking a Program Evaluator for pay-for-success projects to independently evaluate outcomes when government payments depend on results.
About the Workforce Intelligence Lab (WIL)
The Workforce Intelligence Lab (WIL) is an applied workforce research initiative. WIL builds methodology-transparent workforce intelligence, including labor demand signals, occupational and credential pathways, and training-to-employment outcome measures, and works with education, employer, research, and community partners to turn that evidence into grant and sponsored-project collaborations. Learn more: https://wilinstitute.org
Opportunity type: this is a contingent proposal opportunity in WIL's expert collaborator network, not a funded vacancy. It supports a competitive grant application WIL is preparing; no award has been made, and there is no guaranteed work or funding. If an award proceeds and the staffing model calls for it, WIL may offer a project-based contract or consulting engagement. We will ask before naming you or including your resume in any proposal.
What you'll do
Apply to be considered.
Requirements
Required
Nice to have
Conduct project-based market research on consumer markets, gathering information through store visits and secondary sources and reporting findings to project managers.
Conduct project-based market research on consumer markets, gathering information through store visits and secondary sources, and reporting findings to project managers for business intelligence projects.
Evaluate AI conversations for whether they gather decision-relevant context, identify missing information and useful follow-up questions, and provide structured feedback to improve conversational quality.
Evaluate conversations between people and AI models, identify missing context and useful follow-up questions, and provide structured, evidence-based feedback to improve recommendation quality.
Evaluate AI conversations for whether they gather enough context before offering recommendations, identify missing information and useful follow-up questions, and provide structured feedback to improve conversational quality.