Editorial Prompt Engineer, ITP Luxury Group

ITP Media Group; Dubai; On-site; AED 120,000 - 160,000; Full time

Job summary

A renowned media company in Dubai is seeking an Editorial Prompt Engineer to create and optimize AI-assisted workflows in editorial tasks. This role focuses on developing prompt systems that enhance content quality and speed across various media formats. Candidates should have 6-10 years in editorial copy roles, excellent copywriting skills, and a strong grasp of AI governance. Bilingual proficiency in Arabic and English is strongly preferred, offering a competitive salary and innovative work environment.

Qualifications

• Proven experience with prompt systems and libraries.
• Ability to create multi-step prompt chains for content refinement.
• Strong grasp of newsroom standards and AI governance.

Responsibilities

• Map and optimize editorial workflows integrating AI at necessary steps.
• Design prompts to aid research verification and fact-checking processes.
• Create training materials and coach teams on effective AI use.

Skills

Prompt libraries

Editorial workflow design

Research verification

SEO knowledge

Bilingual (Arabic/English)

Education

6-10 years in editorial roles

Tools

JSON/YAML schemas

Automation tools (Sheets/Notion)

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.