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If you're excited about AI, enjoy working with people, and want to grow into Product Management ... Lead client onboarding and training. * Gather product feedback and identify recurring issues.

... deliver training and capability demonstrations to cleared personnel, and develop AI-assisted ... Foreign language proficiency in Russian, Mandarin, Farsi, Korean, or Spanish. * Experience with ...

... deliver training and capability demonstrations to cleared personnel, and develop AI-assisted ... Foreign language proficiency in Russian, Mandarin, Farsi, Korean, or Spanish. * Experience with ...

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Russian Ai Trainer information

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How much do russian ai trainer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for russian ai trainer in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Russian AI Trainer?

To thrive as a Russian AI Trainer, you need native or fluent Russian language proficiency, a solid understanding of AI and machine learning concepts, and experience working with large language datasets. Familiarity with annotation platforms, data labeling tools, and knowledge of relevant guidelines or standards—often supported by certifications in linguistics or AI—are highly valuable. Excellent attention to detail, strong communication, and collaborative problem-solving skills help you stand out in this position. These skills are critical for ensuring high-quality data that accurately trains AI models to understand and process Russian language effectively.

What is a Russian AI Trainer?

A Russian AI Trainer is responsible for improving artificial intelligence systems by reviewing, annotating, and generating content in Russian. This role often involves training language models by evaluating responses, refining translations, or ensuring linguistic and cultural accuracy. AI trainers may also provide feedback on AI-generated text to enhance accuracy and fluency. Strong proficiency in Russian, attention to detail, and an understanding of AI language models are essential for this role.

What are some common challenges faced by a Russian AI Trainer, and how can they be addressed?

Russian AI Trainers often encounter challenges such as handling ambiguous language data, ensuring high annotation consistency, and adhering to evolving project guidelines. These obstacles can be addressed by collaborating closely with team members, participating in regular training sessions, and staying up to date with best practices in AI training and linguistic annotation. Maintaining clear communication with project leads and leveraging available documentation are also crucial for troubleshooting issues as they arise. While the work can be detail-oriented and repetitive at times, it offers valuable experience in the rapidly growing AI industry and opportunities for career progression into more advanced AI roles.

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Infographic showing various Russian Ai Trainer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.

Threat Intel Manager, Influence Operations & Surveillance

Anthropic

San Francisco, CA • On-site

$375K - $455K/yr

Full-time

PTO

Re-posted 6 days ago


Job description

About Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for a threat intel manager to build and run our Influence Operations & Surveillance team within Threat Intelligence. This team detects, investigates, and disrupts the misuse of Anthropic's AI systems for influence operations, coordinated inauthentic behavior, and surveillance operations by authoritarian states and the commercial spyware ecosystem.
This is a ground-floor leadership role. The mission area today produces some of our most consequential casework and external reporting almost entirely through manual investigation; you will stand up its purpose-built detection capabilities, set the strategy for how a frontier AI company finds and counters state-linked information manipulation and surveillance misuse, and you'll personally be involved with the most complex investigations.
Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Key responsibilities
  • Own strategy, priorities, and outcomes for the Influence Operations & Surveillance threat intel mission area
  • Hire, manage, and develop a small team of technical threat investigators with IO and surveillance expertise
  • Personally lead investigations into state-linked surveillance misuse including commercial spyware vendors and surveillance products whose end customers are authoritarian governments and AI-enabled influence campaigns
  • Stand up the mission area's first automated detection: abuse signals, behavioral clustering, and coordinated-network detection tailored to information manipulation and surveillance tooling
  • Conduct cross-platform analysis linking on-platform activity to broader campaigns across social media, messaging platforms, and the spyware supply chain
  • Attribute campaigns to specific actors, with particular focus on state-sponsored operations from geopolitically significant regions
  • Own external engagement: government partners, platform integrity teams, academic and civil-society researchers, and threat intelligence sharing communities
  • Drive public and partner-facing reporting on AI-enabled IO and surveillance, and inform safety-by-design strategies as multimodal and agentic capabilities reshape the landscape
Minimum qualifications
  • Have deep subject matter expertise in influence operations, coordinated inauthentic behavior, or state surveillance / commercial spyware ecosystems
  • Have led investigative teams or threat intel teams.
  • Have demonstrated proficiency in SQL and Python for data analysis and threat detection
  • Have experience attributing campaigns to specific threat actors, including state-sponsored operations
  • Have strong OSINT tradecraft for investigating online information ecosystems
  • Have hands-on experience with large language models and how they can be weaponized for IO and surveillance
  • Can present analytical work to technical and non-technical audiences, including government stakeholders and senior leadership
Preferred qualifications
  • Experience at a major technology platform on influence operations, platform integrity, or content authenticity
  • Background in intelligence analysis, information operations, or counter-disinformation in government or military contexts
  • Experience investigating commercial spyware or surveillance-as-a-service vendors (e.g., civil-society or vendor-research backgrounds)
  • Experience investigating operations linked to Chinese, Russian, Iranian, or other state-sponsored campaigns
  • Fluency in Mandarin Chinese, Russian, Farsi, and/or Arabic with nuanced regional and geopolitical context
  • Familiarity with social network analysis for mapping coordinated behavior
  • Active Top Secret security clearance

The annual compensation range for this role is listed below.
For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$375,000-$455,000 USD
Logistics
Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.