{"version":1,"parameters":{"country":"Required. Two-letter country of residence, e.g. US, GB, IN. Never infer it from the agent’s location.","domain":"Required. Up to 3 expertise IDs from /api/jobs/options. Repeat or separate with commas. For more areas, make separate searches.","focus":"Optional role-focus IDs in the selected domains. Repeat or separate with commas. Domains without a selected focus search all their focuses for listings. DataAnnotation recommendations in finance, medicine, science and engineering require an explicitly stated matching focus; ask rather than infer it.","experience":"Required. Whole years of relevant experience, 0–80.","education":"Required. Highest completed education: none, associates, bachelors, masters, professional, phd.","language":"Required. Languages the person can work in. Repeat or separate with commas, e.g. English,Spanish.","skills":"Optional comma-separated skills for ranking, up to 12. Do not send a resume or personal identifiers.","q":"Optional keywords. All words must appear in the role title, source domain or listed skills, not incidental description text.","platform":"Optional platform IDs from /api/jobs/options. Repeat or separate with commas. dataannotation returns a separate platform recommendation for matching profiles, not individual listings.","unknown_country":"Optional true/false, default false. Include remote roles with unconfirmed country eligibility. Known exclusions still apply.","stretch":"Optional true/false, default true. Include separately labeled roles requiring up to two more years of experience.","last_days":"Optional whole number, 1–365. Keep roles from the previous N × 24 hours, using the source posting date or, only when absent, the first-found date. Filters before ranking and pagination. Undated and future-dated roles are excluded. DataAnnotation platform recommendations are omitted because they have no posting date.","limit":"Optional individual listing count, 1–20, default 10. Platform recommendations are separate.","offset":"Optional individual listing offset, 0–10000, default 0. 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verified eligibility. The same matcher powers the interactive search. Scores use listing age (20%), experience (25%), openings (10%), role focus (15%), entered skills (25%) and education fit (5%).","referralDisclosure":"Application URLs may contain referral codes that earn Paid to Train AI a bonus at no cost to the applicant. Preserve the complete URL, including its query parameters.","platformRecommendationNote":"For platformRecommendations, return the name, matching specialty and complete applicationUrl. No qualification-page visit is needed. Do not add referral eligibility explanations or invent a score, pay rate or opening. Keywords, counts and pagination apply only to individual listings. Date-filtered searches omit undated platform recommendations. Deduplicate recommendations by id. Disclose referral links once for the shortlist."}