Remote SEO & Digital Marketing Expert - Contract

YO IT Consulting

Houston (TX)

On-site

USD 55,000 - 110,000

Part time

14 days+

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Benefits offered by this job

Remote work

Hourly contract

Flexible schedule

Job summary

YO IT Consulting is seeking a seasoned SEO & Digital Marketing SME for a remote, hourly contractor role to review AI-generated outputs and provide expert feedback on strategy, intent, and execution. You will evaluate keyword strategy, on-page and technical SEO, content structure, and brand voice, writing clear explanations and ensuring accuracy across training data for AI models.

Ideal candidates will have 5+ years in SEO/digital marketing, strong English (C1), and the ability to work across

Qualifications

Bachelor’s degree in Marketing, Communications, Business, Journalism, or related field.
5+ years of professional experience in SEO and/or digital marketing.
Strong command of SEO fundamentals: keyword research, intent mapping, information architecture, internal linking, content briefs, SERP analysis.
Working knowledge of technical SEO and site health: crawl/indexation, canonicalization, redirects, sitemaps, Core Web Vitals basics, schema.
Strong analytics and measurement instincts: GA4, Search Console, dashboards, experiment design, attribution caveats.
Ability to evaluate writing and strategy for clarity, structure, persuasion, and brand voice, including landing pages and SEO blog content.
Exceptional attention to detail when spotting weak logic, overclaims, hallucinated facts, or risky marketing claims; minimum C1 English proficiency.
Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
Previous experience with AI data training/annotation, editorial QA, content ops, or performance marketing review is strongly preferred.

Responsibilities

Develop AI Training Content: Create detailed prompts and gold-standard SEO/digital marketing outputs (content briefs, strategy notes, optimizations, analyses).
Optimize AI Performance: Evaluate and rank AI responses to improve intent match, correctness, clarity, and practical applicability.
Ensure Model Integrity: Test AI outputs for inaccuracies, brand-risk claims, policy/compliance pitfalls, and bias; validate reliability across use cases.