Perform high-quality moderation of text, image, and video content to ensure guideline compliance; identify and escalate issues; produce daily quality audit reports and analyses; contribute to policy improvements; and assist onboarding and training of moderators to improve accuracy and performance.
About the Role:
At OnePlus, we strive to push boundaries and challenge the status quo. Our mission is to deliver high-quality technology and meaningful experiences to users around the world. We're looking for a sharp, detail-oriented Sr. Moderator to join our Content Operations team and help uphold the integrity and quality of our platform through robust content review and quality control practices.
Key Responsibilities:
- Conduct high-quality reviews of platform content (text, images, videos) to ensure compliance with company guidelines and moderation policies.
- Identify and report content issues, risks, or anomalies during the moderation process and escalate to relevant teams as needed.
- Contribute to the development and continuous optimization of moderation policies by providing practical feedback and suggestions.
- Generate daily quality audit reports and perform data analysis to support operational decisions and improvements.
- Assist in onboarding and training new moderators, helping to improve review accuracy and team performance.
Requirements
- Associate degree or higher required.
- Strong risk awareness and keen judgment of visual and written content. Prior experience in content moderation, ad review, app review, or AIGC (AI-generated content) review is a plus.
- Excellent logical thinking, analytical, and problem-solving skills; able to perform case-based analysis and drive issue resolution.
- Strong communication and teamwork skills, with the ability to work under pressure.
Preferred Qualifications
- Experience working in fast-paced digital content environments.
- Native English speaker
- Familiarity with emerging content trends, AI-generated content, or moderation tools/platforms.
Benefits
OnePlus is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
The US base salary range for this contractor position is 30-50/hour. Our salary ranges are determined by role, level, and location.
InnoPeak Technology Palo Alto, California, USA Office
2479 E Bayshore Rd, 110, Palo Alto, CA, United States, 94303
InnoPeak Technology East Palo Alto, California, USA Office
2479 E Bayshore Rd, 110, East Palo Alto, United States, 94303
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Set technical direction for ServiceNow HRSD’s agentic AI architecture, including orchestration, context assembly, tool use, autonomy boundaries, evaluation infrastructure, safety, observability, and production quality. Define standards for prompts, instructions, migrations, testing, and AI-assisted engineering. Partner across product, engineering, and design while contributing hands-on to complex integrations, prototypes, incidents, and systemic fixes. The role requires production LLM experience, access-controlled data handling, evaluation systems, and strong software engineering skills.
Top Skills:
Agent OrchestrationCi/CdJavaJavaScriptLlm ApisReactRelational DatabasesRetrieval-Augmented GenerationStructured OutputsTool CallingTypescript
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, deploy, and operate cloud-native platform services and Kubernetes workloads from conception through production. Lead technical projects, develop operators and controllers, improve reliability and observability, write tests and automation, participate in on-call, and collaborate with senior engineers on architecture. Mentor junior engineers through reviews, design feedback, and pairing. The role requires strong Go programming, Kubernetes expertise, hyperscaler experience, CI/CD, GitOps, and infrastructure-as-code knowledge.
Top Skills:
AWSAzureCi/CdCniContainersDashboardsGCPGitopsGoInfrastructure-As-CodeKubernetesKubernetes ControllersKubernetes OperatorsMetricsMtlsObservabilitySecrets ManagementService MeshTracingWorkload Identity
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Manage the IC controller category for SSD and storage products, including supplier portfolio performance, sourcing strategies, negotiations, cost reduction, supply risk management, RFPs, contracts, and capacity planning. Collaborate with engineering, quality, business units, legal, and executives to support product launches, production ramps, and long-term supply continuity. Conduct cost modeling and savings analysis while managing supplier agreements and category priorities. Requires up to 15% domestic travel.
Top Skills:
SiliconSsd
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
