16 days ago

Prompt Engineer

Social Discovery Group

Hybrid
Full Time
$120,000
Hybrid
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Job Overview

Job TitlePrompt Engineer
Job TypeFull Time
Offered Salary$120,000
LocationHybrid
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Job Description

About Social Discovery Group

Social Discovery Group (SDG) is a global leader in social discovery, connecting millions of users through innovative products. We address loneliness and disconnection by transforming virtual intimacy into the new normal, with a portfolio of brands including DateMyAge, Dating.com, EuroDate, Dil Mil, and Cupid Media. Operating in over 150 countries, SDG is powered by an international team of 1000+ IT professionals and digital nomads who work remotely from diverse locations worldwide. Recognized as a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025), we foster a collaborative and innovative work environment.

Job Title: Prompt Engineer

We are seeking a Middle Prompt Engineer to enhance the quality and reliability of our AI moderation systems. You will be instrumental in optimizing Large Language Model (LLM) prompts for the automated moderation of user-generated content (UGC), including photos, profiles, and conversations.

Main Tasks

  • Improve and optimize LLM prompts for AI moderation of photos, profiles, and chats.
  • Analyze model performance, identifying and addressing errors such as false positives and false negatives.
  • Work with large-scale user-generated content (UGC) and manage edge cases.
  • Build and enhance quality evaluation processes for moderation systems.
  • Conduct experiments, including A/B testing, to measure the effectiveness of prompts.
  • Collaborate with engineers, product teams, and moderation specialists to achieve shared goals.
  • Continuously iterate on prompts based on data, metrics, and user behavior analysis.
  • Detect and prevent moderation bypass patterns like jailbreaks and prompt injections.

What We Expect From You

  • Experience working with LLMs (e.g., GPT, Claude, Gemini, or similar).
  • Hands-on experience with prompt engineering and/or LLM evaluation.
  • Understanding of AI moderation, Trust & Safety, and UGC systems.
  • Ability to analyze model outputs and work with quality metrics.
  • Experience with experimentation, including A/B testing and hypothesis validation.
  • Strong analytical thinking and meticulous attention to detail.
  • Capacity to work with ambiguity and iterate quickly.
  • Good communication skills and ability to work cross-functionally.

What We Offer

  • REMOTE OPPORTUNITY: Full-time remote work.
  • Vacation: 28 calendar days per year.
  • Wellness Days: 7 days per year for personal needs, without requiring sick leave.
  • Bonuses: Up to $5000 for successful applicant referrals.
  • Professional Development: 50% reimbursement for training, conferences, and meetings.
  • Corporate Discount for English lessons.
  • Health Benefits: Up to $1000 gross reimbursement annually for medical expenses if not eligible for corporate insurance.
  • Workplace Organization: Reimbursement up to $1000 gross every 3 years for home office setup or co-working space rental.
  • Internal Gamified Gratitude System: Recognize colleagues and exchange bonuses for merchandise, team building, or massage certificates.

Key skills/competency

  • Prompt Engineering
  • LLM Optimization
  • AI Moderation
  • User-Generated Content (UGC)
  • Model Performance Analysis
  • A/B Testing
  • Trust & Safety
  • Data Analysis
  • Machine Learning
  • Communication Skills

Tags:

Prompt Engineer
AI Moderation
LLM
Machine Learning
Prompt Engineering
User-Generated Content
Trust & Safety
Data Analysis
A/B Testing
Remote Work

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How to Get Hired at Social Discovery Group

  • Tailor your resume: Highlight LLM experience and prompt engineering skills relevant to AI moderation.
  • Showcase analytical skills: Emphasize your experience with data analysis, model evaluation, and A/B testing.
  • Demonstrate cross-functional collaboration: Detail projects where you worked with engineers and product teams.
  • Quantify achievements: Use metrics to show the impact of your prompt optimizations or system improvements.
  • Prepare for technical questions: Be ready to discuss your understanding of AI moderation and LLM capabilities.

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