Editorial Prompt Engineer, ITP Luxury Group

ITP Media Group; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading media company in Dubai is seeking an Editorial Prompt Engineer to enhance AI-assisted editorial workflows. The ideal candidate will have 6-10 years of experience in editorial roles, strong SEO and copywriting abilities, and preferably be bilingual in Arabic and English. This position focuses on integrating AI processes in journalism, with an emphasis on quality and compliance standards. Competitive compensation is offered.

Benefits

Competitive salary

Flexible working environment

Qualifications

• 6-10 years in editorial copy or audience roles with proven LLM/prompting expertise.
• Excellent copywriting skills to encode tone/voice into prompts.

Responsibilities

• Create/update prompt kits per brand vertical.
• Set up prompt testing boards with examples and fixes.
• Pair-prompt with editors on live commissions.

Skills

Editorial copy expertise

SEO knowledge

Prompt engineering

Bilingual Arabic/English

Data analysis

Tools

Google Sheets

Notion

Zapier

Job description

ITP Media Group is hiring an Editorial Prompt Engineer to partner with editors writers social teams and producers to design test and scale AI-assisted editorial workflows. This role is copy/journalism-first (not software engineering) focused on crafting robust prompt systems templates and guardrails that increase output quality and speed across social video/podcast packaging and white-label. You ll institutionalize best practices for responsible AI in the newsroom aligning with industry standards on transparency accuracy and human oversight.

Requirements

1) Prompt Systems & Libraries

• Build and maintain prompt libraries (headline packs SEO/meta outlines interview preps listicles explainers social captions scripts show notes) per brand voice.
  
• Create multi-step prompt chains for drafting refinement fact-check style pass; version prompts run A/B tests document what works.
  

2) Editorial Workflow Design

• Map end-to-end editorial workflows and insert AI at the right steps (research assistance angle generation text polishing packaging) always with human-in-the-loop sign-off.
  
• Stand up repeatable automations (e.g. CMS draft package SEO social variants) using off-the-shelf tools (no-code/low-code) and enterprise LLMs.
  

3) Research Verification & Fact-Checking Aids

• Design verify mode prompts that force sourcing quote extraction claim lists and line-by-line evidence checks; require links and provenance for all assertions.
  
• Create hallucination-reduction patterns (structured checklists constrained schemas refusal triggers).
  

4) SEO & Audience Packaging

• Build prompts for entity/keyword clustering meta descriptions URL slugs image alt text and headline/subhead variants tailored to each title.
  
• Provide platform-native social packs (IG/TikTok/YouTube/Threads) with hooks lengths and CTAs matched to channel behaviours.
  

5) Multimedia Support (Post-friendly)

• Prompt frameworks for video/podcast packaging: titles descriptions chapters thumbnails copy shownotes and transcript clean-up.
  
• Generate multi-ratio copy variants and localised (EN/AR) versions with style checks.
  

6) Training Playbooks & Change Management

• Run editors rooms/office hours lunch-and-learns and build concise playbooks and style-infused system prompts per brand; track adoption and outcomes.
  
• Coach teams on prompt hygiene disclosure and when not to use AI (sensitive topics high-risk reporting).
  

7) Governance Safety & Rights

• Embed newsroom AI principles: transparency human oversight labelling of AI-assisted outputs and data/PII protection; align with AP/Reuters/BBC-style guidance.
  
• Set guardrails for branded work (church & state) copyright/citations and content labelling for any automated assistance.
  

8) Evaluation & Analytics

• Define quality rubrics (accuracy originality tone fairness) and productivity metrics (turnaround time accepted-as-final rate edits per draft).
  
• Report lift in pageviews/engagement for AI-assisted packaging and measure subscriber/loyalty impact on premium brands.
  

9) Model & Tool Selection

• Compare models/tools (ChatGPT Enterprise Claude others) for task fit safety and cost-performance; maintain a menu of approved use cases.
  
• Pilot retrieval-augmented workflows using brand archives (licensed content past issues) to keep outputs on-brand and verifiable (e.g. Ask FT -style constrained assistants).
  

10) External Signals & Stakeholder Confidence

• Monitor public trust signals around AI in news; propose disclosure language and FAQ for audiences and clients.
  
• Liaise with legal/compliance on rights data retention and crawler policy posture.
  

Key Responsibilities:

• Create/update prompt kits per brand vertical (fashion beauty luxury business culture).
  
• Set up prompt testing boards (with examples failures and fixes).
  
• Pair-prompt with editors on live commissions; coach headline desks on fast ethical AI use.
  
• Build macro-templates for newsletters franchise pages and social series.
  
• Maintain a changelog of prompt iterations success rates and guidelines.
  
• Draft AI use disclosures and contributor guidance for contracts.
  

Qualifications

• 6 10 years in editorial copy or audience roles with demonstrable LLM/prompting expertise; portfolio of before/after improvements (headlines SEO social longform).
  
• Excellent copy craft; ability to encode tone/voice into prompts and templates.
  
• Comfort with structured prompts JSON/YAML schemas and light automation (Sheets/Notion/Zapier/Make); familiarity with RAG basics a plus.
  
• Strong grasp of newsroom standards (sourcing fairness labelling) and AI governance concerns.
  
• Data-literate: can define KPIs analyse outcomes and recommend next steps.
  
• Bilingual Arabic/English strongly preferred.
  

Key Performance Indicators (KPIs)

• Cycle-time reduction from commission to publish for AI-assisted tasks.
  
• Accepted-as-final rate for AI-assisted drafts/packaging.
  
• Accuracy/standards compliance (zero critical incidents; declining correction rate).
  
• SEO/Social uplift on AI-assisted packages (CTR rank movement engagement).
  
• Adoption & satisfaction: % of teams using approved prompt packs; training NPS.
  
• Cost-efficiency: tokens/runtime vs. time saved and output quality.