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Contract Video Moderation Jobs (NOW HIRING)

AI Engineer (DFW Area)

Richardson, TX Ā· On-site

$107K - $182K/yr

Basic multimodal use cases (text + image, text + document, and soon video/audio) * Design and ... Integrate safety/guardrail layers (e.g., content moderation APIs, Guardrails AI, Rebuff, custom ...

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Contract Video Moderation information

See salary details

$26K

$59.8K

$95K

How much do contract video moderation jobs pay per year?

As of Jul 16, 2026, the average yearly pay for contract video moderation in the United States is $59,788.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $69,500.00 per year, depending on experience, location, and employer.

How much do Tiktok moderators get paid?

TikTok moderators typically earn between $15 and $25 per hour, depending on experience and location. The role involves reviewing content to ensure community guidelines are followed and often requires familiarity with content moderation tools and policies.

How to make $1000 a week remotely?

Contract video moderation roles can pay varying rates, with experienced moderators earning around $15 to $25 per hour. To reach $1000 weekly, one would need to work approximately 40 to 67 hours, often requiring strong attention to detail, familiarity with content policies, and the ability to work flexible schedules. Increasing earnings may involve taking on multiple platforms or specialized moderation tasks.

How to get hired as a YouTube moderator?

To become a YouTube moderator, you should demonstrate strong communication skills, familiarity with community guidelines, and the ability to review content objectively. Many moderation roles are part-time or remote, often requiring experience with content management tools and adherence to platform policies. Applying through official channels or community moderation programs can increase your chances of being hired.

What is the difference between Contract Video Moderation vs Contract Content Review?

AspectContract Video ModerationContract Content Review
Primary FocusMonitoring and moderating video content for appropriatenessReviewing various types of digital content for compliance and quality
Work EnvironmentOnline platforms, remote or office-basedOnline platforms, remote or office-based
Required SkillsAttention to detail, understanding of platform policies, communication skillsAttention to detail, understanding of content guidelines, analytical skills

Contract Video Moderation specifically involves monitoring and moderating video content to ensure it complies with platform policies, while Contract Content Review covers a broader range of digital content types. Both roles require similar skills and work environments, making them closely related but distinct in scope.

How can I make 2000 a week working from home?

Contract Video Moderation roles can pay between $10 and $20 per hour, depending on the company and experience, making it possible to earn around $2000 weekly with full-time hours. Success depends on consistent work, efficiency, and sometimes specialized skills or certifications in content moderation tools and policies.
More about Contract Video Moderation jobs
What cities are hiring for Contract Video Moderation jobs? Cities with the most Contract Video Moderation job openings:
What are the most commonly searched types of Video Moderation jobs? The most popular types of Video Moderation jobs are:
What states have the most Contract Video Moderation jobs? States with the most job openings for Contract Video Moderation jobs include:
Infographic showing various Contract Video Moderation job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 17% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $59,788 per year, or $28.7 per hour.

Engineer in Residence: Live Selling Copilot

career

Mountain View, CA

$10K/mo

Contractor

Re-posted 22 days ago


Job description

Live commerce is bottlenecked by host capacity and operational chaos. Great sellers win on personality and community, but they still have to multitask like air-traffic controllers: managing chat, pacing listings, handling inventory, answering niche questions, and doing post-show follow-up. This role is to build a LiveOps Copilot: a human-first AI producer that runs backstage for live commerce sellers, keeps the host front and center, and automates the operational work around the show.

What You'll Build
  • A backstage producer cockpit that clusters chat, drafts or sends guardrailed replies, and surfaces the highest-value audience questions in real time.
  • A listing and inventory control towebaer that helps hosts manage sequencing, pinned items, bundles, and oversell or stale-listing risk during the show.
  • A real-time product research layer that answers unknown questions from seller notes, listing data, historical Q&A, and trusted category sources.
  • Multilingual translation and localized reply support so hosts can engage cross-border audiences without losing flow.
  • A lightweight post-show repurposing workflow that turns streams into reusable clips, Q&A moments, and listing assets.
What You'll Do
  • Build the end-to-end real-time system across chat ingestion, retrieval, guardrails, operator UX, listing controls, and post-show outputs.
  • Work with one of our large LPs as your build/design partner to identify the right pilot category, host set, data path, and success metrics for the MVP.
  • Design the automation ladder from draft support to host-controlled agentic replies without undermining authenticity or seller trust.
  • Make decisions about latency, guardrails, disclosure, and escalation so higher-autonomy features are safe and useful.
  • Work with AI Fund's build team on product wedge, technical risk, and the path fromĀ  pilot to a broader live-commerce OS.
What You Need
  • Strong full-stack execution, especially on real-time systems, operator workflows, and AI-assisted products.
  • Demonstrated experience building GenAI products with retrieval, tool use, guardrails, and production feedback loops.
  • Product judgment for human-in-the-loop automation where the right answer is usually to remove busywork rather than replace the human outright.
  • Ability to move quickly with external design partners and translate ambiguous feedback into working product decisions.
  • You actively use AI coding assistants and modern GenAI tools as part of your build workflow.
  • US work authorization. We are unable to sponsor visas for this role.
Helpful but Not Required
  • Experience with live commerce, creator tools, marketplaces, video products, or seller operations.
  • Experience with multilingual UX, moderation systems, or low-latency chat infrastructure.
  • Founder or founding engineer experience.
Who This Is For
  • A builder who likes real-time operator products, tight feedback loops, and markets where authenticity matters.
  • Someone who sees the wedge in backstage tooling now, while building the data and control layer that could support deeper automation later.
What to Know Upfront
  • This is a 12-week, full-time, on-site residency in Mountain View, California.
  • Not every residency becomes a company. The goal is to pressure-test the idea quickly and honestly with real users and customers.
  • You will be building an AI Fund idea, not bringing your own startup idea into the program.
  • The process typically includes a Builder Event or equivalent working conversation, then a 48-hour Build Challenge, then panel review with AI Fund build leadership.
  • The compensation is intentionally modest during the residency because the upside, if the idea works, is a founder-level role.
Compensation

$10,000/month for 12 weeks ($30,000 total). This is a contract role during the residency. If the build leads to a funded company, the next step is a founder-level role with meaningful equity upside.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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