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.