Private Investigator / Loss Prevention Expert - AI Project at Gramian Consulting Group

, , Pakistan -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Investigations, Loss Prevention, Fraud Review, Information Analysis, Prompt Creation, Scenario Design, Compliance, Corporate Security, Evidence Review, Analytical Thinking, Written English Communication, AI Model Evaluation

Industry

IT Services and IT Consulting

Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview We are looking for experienced investigation and loss prevention professionals to help create realistic, profession-based prompts and tasks used to evaluate advanced AI models. In this role, you will design real-world scenarios based on actual workflows in investigations, fraud review, loss prevention, and information analysis environments. These prompts will be used to test how well AI systems perform in day-to-day professional situations. This role is ideal for professionals with hands-on experience in investigations, retail loss prevention, compliance, or corporate security who understand real operational workflows and decision-making processes. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks Location: India, Pakistan, Bangladesh, Turkey, Nigeria, Ghana Selection process: Online test related to AI Prompt Creation What You’ll Do Create realistic, first-person prompts based on real job workflows Design tasks that reflect real-world investigation, fraud review, and loss prevention scenarios Use relevant public data, reports, case notes, or documents as input material Ensure prompts are clear, structured, and aligned with real occupational responsibilities Review and refine tasks to ensure accuracy, realism, and completeness Follow structured guidelines for prompt writing and evaluation Collaborate with remote teams working on AI training and evaluation projects Suitable Backgrounds (examples) We are open to professionals from investigation, compliance, and security-related roles, including: Private Detectives / Investigators Retail Loss Prevention / Fraud Prevention specialists Corporate security / compliance / due diligence professionals Insurance investigation / claims investigation roles Risk / audit / internal review roles Security supervisors / investigation analysts Background check / verification / research roles Law enforcement / investigation support roles 5+ years of professional experience in investigations, loss prevention, fraud review, compliance, or security-related roles Degree in Criminal Justice, Law, Security, Business, or related field preferred Background in private investigation, corporate investigations, retail loss prevention, insurance investigations, or due diligence is strongly preferred Strong understanding of real-world investigation workflows, reporting, and evidence review processes Ability to translate real job situations into clear, structured written instructions Strong analytical thinking and attention to detail Experience reviewing documents, reports, or case information and making logical conclusions Ability to write clear, factual, and realistic task descriptions without exaggeration or fictional elements Good written English communication skills Comfortable working with guidelines and following structured formats Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading Tech companies.

Responsibilities

The primary responsibility is designing real-world, profession-based prompts and tasks based on actual workflows in investigations, fraud review, and loss prevention to evaluate advanced AI models. This involves creating realistic, first-person scenarios and ensuring prompts are clear, structured, and aligned with real occupational responsibilities.