Prompt
How do I ensure my job aggregation workflow with a multi-source job distribution platform is compliant?
Latest observation
To make a job aggregation workflow compliant on a multi-source job distribution platform, treat compliance as a combination of rights, permissions, data handling, and content integrity. Here’s a practical checklist:
1) Confirm you have the right to republish each job
- Check contracts/terms with each source, employer, ATS, or partner feed.
- Verify whether you’re allowed to:
- copy full job descriptions,
- display partial content,
- cache listings,
- re-distribute to third parties,
- modify titles/locations/descriptions.
- If terms conflict, follow the most restrictive source.
2) Respect intellectual property and attribution rules
- Don’t scrape or repost content unless permitted.
- Preserve required attribution, source links, and branding.
- Avoid removing copyright notices, source identifiers, or mandatory disclaimers.
3) Handle personal data lawfully
If job data includes names, emails, phone numbers, recruiter info, or candidate data:
- Identify your legal basis for processing under applicable law.
- Minimize collection to what you need.
- Set retention limits and deletion procedures.
- Support access/deletion requests where required.
- Secure personal data in transit and at rest.
Relevant regimes may include:
- GDPR/UK GDPR
- CCPA/CPRA
- Local privacy and labor-data rules in the countries you operate in
4) Make sure the listings are accurate and not misleading
- Validate fields like title, location, compensation, employment type, and remote status.
- Remove expired or closed jobs promptly.
- Prevent duplicates and outdated postings.
- Don’t alter job details in a way that misrepresents the employer offer.
5) Watch for discrimination and fairness issues
- Avoid filtering or ranking jobs using protected characteristics unless legally justified.
- Ensure job content and targeting don’t create discriminatory outcomes.
- Be careful with AI-generated enrichment or classification that could introduce bias.
6) Follow platform and source-specific policies
- If you distribute to job boards, marketplaces, or aggregators, review each platform’s:
- content standards,
- prohibited listings,
- formatting requirements,
- spam policies,
- anti-duplication rules,
- geo-targeting and labor-law rules.
7) Build compliance into your workflow
Implement controls such as:
- Source approval registry
- Licensing/terms review before ingestion
- Content validation rules
- Audit logs for every job record and update
- Expiration checks and refresh cadence
- Automated takedown process
- Manual review for high-risk sources or countries
8) Publish a takedown and correction process
- Let employers or sources report inaccurate or unauthorized listings.
- Respond quickly to removal requests and disputes.
- Keep a record of requests and actions taken.
9) Review employment-law requirements by jurisdiction
Depending on where jobs are posted, you may need to comply with:
- pay transparency rules,
- worker classification requirements,
- local language requirements,
- equal opportunity statements,
- notice/consent obligations.
10) Get legal review for your specific setup
This is especially important if you:
- scrape publicly available listings,
- use affiliate or resale distribution,
- cross-border distribute jobs,
- process candidate data,
- use AI to rewrite or rank postings.
If you want, I can turn this into a workflow compliance checklist, a policy template, or a technical control map for your job aggregation pipeline.
Observation history
See 1 earlier observation
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (2 observations for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.