1

Bilingual Content Moderator Jobs (NOW HIRING)

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... LLMs, including multi-lingual, multi-modal, and reasoning models. We value expertise in data ... Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content ...

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... LLMs, including multi-lingual, multi-modal, and reasoning models. We value expertise in data ... Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content ...

AI Safety Engineer

Santa Clara, CA · On-site

$90 - $130/hr

... LLMs, including multi-lingual, multi-modal, and reasoning models. We value expertise in data ... Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content ...

AI Security Engineer

Santa Clara, CA · On-site

$90 - $130/hr

... LLMs, including multi-lingual, multi-modal, and reasoning models. We value expertise in data ... Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content ...

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... LLMs, including multi-lingual, multi-modal, and reasoning models. We value expertise in data ... Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content ...

Be Seen First

... content creation * Proven skills in live streaming, sales techniques, and customer engagement ... Bilingual (English + Chinese or Spanish is a bonus)

next page

Showing results 1-20

Bilingual Content Moderator information

See salary details

$9

$17

$25

How much do bilingual content moderator jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for bilingual content moderator in the United States is $17.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $18.75 per hour, depending on experience, location, and employer.

What are the main challenges faced by Bilingual Content Moderators, and how can they effectively manage them?

Bilingual Content Moderators often face the challenge of reviewing and interpreting content in multiple languages, which can involve complex nuances, slang, or culturally specific references. Additionally, they may encounter emotionally distressing or sensitive material, making emotional resilience and self-care important. Managing high volumes of content while maintaining accuracy and consistency is another common challenge. Effective moderators typically rely on robust training, support from their team, and clear company guidelines to navigate these issues successfully.

What is the difference between Bilingual Content Moderator vs Content Reviewer?

AspectBilingual Content ModeratorContent Reviewer
CredentialsHigh school diploma or equivalent; language proficiency certificationsHigh school diploma or equivalent; sometimes specialized training
Work EnvironmentOnline platforms, social media, digital content moderationOnline or offline content review, often in media or publishing companies
Industry UsageSocial media, tech companies, online marketplacesMedia outlets, publishing, advertising agencies
Search & Comparison IntentHigh overlap in language skills and content policiesFocuses more on content quality and compliance

Both roles involve reviewing digital content, but Bilingual Content Moderators specifically handle content in multiple languages, ensuring compliance and safety across diverse audiences. Content Reviewers may focus more on content quality, accuracy, and adherence to guidelines. While their skills overlap, Bilingual Content Moderators require language proficiency, making them essential for global platforms.

What are Bilingual Content Moderators?

Bilingual Content Moderators are professionals responsible for reviewing, assessing, and managing user-generated content on digital platforms in two or more languages. They ensure that content complies with community guidelines, legal regulations, and platform policies while maintaining a safe and respectful online environment. Bilingual skills are essential for this role, as moderators must accurately understand and interpret content in multiple languages to detect inappropriate, harmful, or policy-violating material. Their work helps protect users from exposure to offensive or illegal content and supports positive user experiences on global platforms.

What are the key skills and qualifications needed to thrive as a Bilingual Content Moderator, and why are they important?

To thrive as a Bilingual Content Moderator, you need fluency in at least two languages, strong analytical skills, and a solid understanding of community guidelines or digital policies. Familiarity with content management systems, moderation tools, and sometimes certifications in digital safety or trust & safety are typically required. Strong communication, cultural sensitivity, and emotional resilience help you handle sensitive content and interact effectively with diverse users. These skills ensure accurate, fair, and culturally appropriate moderation, maintaining a safe and respectful online environment.
More about Bilingual Content Moderator jobs
What cities are hiring for Bilingual Content Moderator jobs? Cities with the most Bilingual Content Moderator job openings:
What states have the most Bilingual Content Moderator jobs? States with the most job openings for Bilingual Content Moderator jobs include:
ML Engineer, LLM Safety & Security

ML Engineer, LLM Safety & Security

Sustainable Talent

Santa Clara, CA • On-site

$90 - $130/hr

Full-time

PTO

Posted 24 days ago


Job description

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a ML Engineer, LLM Safety & Security to support our client's team based out of in Santa Clara, CA with remote/ hybrid work options.
This is a full-time (W-2) contract role. We offer competitive pay $90/hr - $130/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!
As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams, focused on AI Safety for LLMs, including multi-lingual, multi-modal, and reasoning models. We value expertise in data science paired with a robust data engineering foundation. This role is directed at assessing, and improving the safety and inclusivity of our LLM models in a scalable fashion. We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model fine-tuning. We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit. Let's make a difference together!
What you'll be doing:
  • Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt.
  • Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more.
  • Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems.
  • Define and track key metrics for responsible LLM behavior and usage.
  • Follow the best practices of automation, monitoring, scale, safety.
  • Contribute to our repositories and develop safety tools to help ML teams be more effective.
  • Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets.
  • Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
  • Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

What we need to see:
  • Bachelor's or Master's Degree in Computer Science or related field or equivalent experience.
  • 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions.
  • Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas.
  • Deep understanding of machine learning algorithms, statistical models, and data structures.
  • Familiarity with software development practices and version control systems (e.g., Git).
  • Good at problem solving and analytical ability.
  • Excellent collaboration and communication skills.

Ways to stand out from the crowd:
  • Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness.
  • Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application.
  • Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs (Vision Language Model) or any-to-text
  • Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance.
  • Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.