Assessing the effectiveness of content moderation systems in detecting unsafe outputs and documenting vulnerabilities, failure patterns, and potential misuse impacts. * Recommending improvements to ...
Assessing the effectiveness of content moderation systems in detecting unsafe outputs and documenting vulnerabilities, failure patterns, and potential misuse impacts. * Recommending improvements to ...
$121K - $156K/yr
Platform trust & safety, content moderation systems, or recommender integrity (or related). * Computational propaganda analysis or bot/network detection (or related). * Epistemic Security - Strategic:
$121K - $156K/yr
Platform trust & safety, content moderation systems, or recommender integrity (or related). * Computational propaganda analysis or bot/network detection (or related). * Epistemic Security - Strategic:
OR · On-site
... content creation across Bedsider and AbortionFinder platforms. This full-time fellowship helps ... Support moderation efforts to help maintain safe, inclusive, and welcoming digital spaces.
OR · On-site
... content creation across Bedsider and AbortionFinder platforms. This full-time fellowship helps ... Support moderation efforts to help maintain safe, inclusive, and welcoming digital spaces.
Develop and maintain scalable moderation and support workflows (triage, escalation paths, response ... Create content systems that keep members informed and activated (announcements, highlights, prompts ...
New
Manage the branded subreddit: maintain the content calendar, create content, and manage posting ... Active Moderation: Enforce community guidelines to maintain brand safety, reputation, and community ...
OR · On-site
$25 - $34/hr
Oversee the AI systems handling content research, experiment design, communications drafting, and ... moderation and other internal tools. The community leaders play a large and critical role in Trust ...
Sr. Software Engineer (PHP)
OR · Remote
Partner on AI-enabled product and platform initiatives where relevant, including areas like moderation tooling, content workflows, search and discovery, summarization, admin productivity, and ...
Sr. Software Engineer (PHP)
OR · Remote
Partner on AI-enabled product and platform initiatives where relevant, including areas like moderation tooling, content workflows, search and discovery, summarization, admin productivity, and ...
Content Moderation information
See Oregon salary details
$24.3K - $41.2K
6% of jobs
$56.9K is the 25th percentile. Wages below this are outliers.
$41.2K - $58.1K
20% of jobs
The median wage is $72.7K / yr.
$58.1K - $74.9K
27% of jobs
$74.9K - $91.8K
21% of jobs
$92.1K is the 75th percentile. Wages above this are outliers.
$91.8K - $108.7K
14% of jobs
$108.7K - $125.5K
3% of jobs
$125.5K - $142.4K
2% of jobs
$142.4K - $159.3K
3% of jobs
$159.3K - $176.1K
0% of jobs
$176.1K - $193K
0% of jobs
$193K - $209.9K
3% of jobs
$24.3K
$88K
$209.9K
How much do content moderation jobs pay per year?
As of Aug 14, 2026, the average yearly pay for content moderation in Oregon is $87,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $97,800.00 per year, depending on experience, location, and employer.
What skills and qualifications are needed for content moderation?
To thrive as a Content Moderator, you need keen attention to detail, strong analytical abilities, and a solid understanding of community guidelines or digital policies, often supported by prior experience in content review or customer service. Familiarity with content management systems, moderation platforms, and sometimes basic knowledge of AI-powered screening tools is beneficial. Effective communication, emotional resilience, and good judgment help professionals navigate sensitive topics and collaborate within diverse teams. These skills and qualities are crucial for maintaining safe and respectful online environments while ensuring compliance with platform standards.
What is content moderation?
A Content Moderation job involves reviewing and monitoring user-generated content on digital platforms to ensure it complies with community guidelines, legal regulations, and platform policies. Moderators identify and remove harmful content such as hate speech, violence, or spam while allowing appropriate discussions. This role helps create a safe and respectful online environment. It may require working with automated tools and human judgment to assess content efficiently.
How do you become a content moderation?
To become a content moderator, candidates typically need a high school diploma or equivalent, strong communication skills, and the ability to evaluate content against platform guidelines. Relevant experience in customer service, familiarity with social media platforms, and sometimes training on content policies are also helpful. Many roles are entry-level and may require working flexible hours or shifts.
What do content moderators do?
Content Moderators may review text, images, videos, or user-generated content on social media platforms, forums, e-commerce sites, or community-driven websites. A typical day often involves monitoring flagged content, making moderation decisions based on set guidelines, and documenting actions taken within moderation tools. Team members may also participate in periodic training sessions to stay updated on evolving policies and collaborate with escalation teams for complex cases. The environment is typically fast-paced and requires adaptability, as content volumes and types can vary significantly. This role offers the chance to contribute directly to the safety and quality of online spaces while building strong problem-solving and communication skills.
Do content moderators get paid well?
Content moderation jobs typically offer hourly wages that are around or slightly below the national average, with pay varying based on experience, location, and the employer. Some companies provide additional benefits or opportunities for overtime, but overall, the pay is generally considered moderate rather than high.
What are the most commonly searched types of Content Moderation jobs in Oregon?
The most popular types of Content Moderation jobs in Oregon are:
What are popular job titles related to Content Moderation jobs in Oregon?
For Content Moderation jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Content Moderation jobs in Oregon look for?
The top searched job categories for Content Moderation jobs in Oregon are:
What cities in Oregon are hiring for Content Moderation jobs?
Cities in Oregon with the most Content Moderation job openings:
Deloitte rating
8.2
Based on 92 frontline employees who took The Breakroom Quiz
45th of 150 rated financial services
Job description
Cyber Digital Trust and Online Safety Manager
The Digital Trust & Online Protection Professional will advise clients in developing, managing, and implementing policies, procedures, and strategies to ensure a safe, compliant, and trustworthy environment for our users. This individual will scale and mature digital trust and safety processes, including content compliance, user protection, and regulatory adherence across our platforms for our clients. Working closely with cross-functional stakeholders, this role will monitor regulatory changes, manage risks, and enhance our organization's approach to content safety, user trust, and online integrity.
Recruiting for this role ends on 12/31/3026.
Work you'll do
As a Manager, Strategy, Growth, and Transformation on the Deloitte Cyber team, you will be responsible for:
- Designing and executing testing scenarios to identify how prompts or user inputs could be manipulated to generate harmful, misleading, or misaligned generative artificial intelligence outputs.
- Researching emerging prompt injection, jailbreak, and adversarial testing techniques to evaluate model weaknesses, bias, factual inaccuracy, and misalignment with user intent.
- Assessing the effectiveness of content moderation systems in detecting unsafe outputs and documenting vulnerabilities, failure patterns, and potential misuse impacts.
- Recommending improvements to moderation policies, flagging mechanisms, training data, and governance controls based on testing findings.
- Collaborating with generative artificial intelligence development, content moderation, and cross-functional stakeholders to strengthen security, trust, safety, and responsible use outcomes.
- Developing multimodal test content and novel prompt manipulation methods to identify failure modes across text and other model inputs.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Enables trust and safety of online communications and digital products, protecting users, consumers, and patients from harm. Enables clients to provide consumer confidence in knowing with whom they are dealing and ensuring the integrity of access to data.
Qualifications
Required:
- Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Linguistics, Psychology, or a related field, or equivalent professional experience
- 10+ years of experience in threat modeling and simulation, prompt generation and analysis, novel testing, and reporting and improvement
- Demonstrated hands-on experience, portfolio work, publications, or research in prompt injection, jailbreak testing, model evaluation, adversarial machine learning, multimodal artificial intelligence safety, or generative artificial intelligence vulnerability assessment
- Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Doctor of Philosophy (PhD) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Linguistics, Psychology, or a related field, or equivalent professional experience
- Specialized training or certifications in generative artificial intelligence red teaming, adversarial machine learning, artificial intelligence security, cybersecurity, responsible artificial intelligence, or artificial intelligence governance
- Experience designing and operationalizing trust and safety testing programs for large-scale consumer platforms, including escalation workflows, issue triage, and remediation tracking
- Experience working with product, legal, policy, and engineering stakeholders to translate risk findings into practical platform controls and governance improvements
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CyberDTP27
Cyber Digital Trust and Online Safety Manager
The Digital Trust & Online Protection Professional will advise clients in developing, managing, and implementing policies, procedures, and strategies to ensure a safe, compliant, and trustworthy environment for our users. This individual will scale and mature digital trust and safety processes, including content compliance, user protection, and regulatory adherence across our platforms for our clients. Working closely with cross-functional stakeholders, this role will monitor regulatory changes, manage risks, and enhance our organization's approach to content safety, user trust, and online integrity.
Recruiting for this role ends on 12/31/3026.
Work you'll do
As a Manager, Strategy, Growth, and Transformation on the Deloitte Cyber team, you will be responsible for:
- Designing and executing testing scenarios to identify how prompts or user inputs could be manipulated to generate harmful, misleading, or misaligned generative artificial intelligence outputs.
- Researching emerging prompt injection, jailbreak, and adversarial testing techniques to evaluate model weaknesses, bias, factual inaccuracy, and misalignment with user intent.
- Assessing the effectiveness of content moderation systems in detecting unsafe outputs and documenting vulnerabilities, failure patterns, and potential misuse impacts.
- Recommending improvements to moderation policies, flagging mechanisms, training data, and governance controls based on testing findings.
- Collaborating with generative artificial intelligence development, content moderation, and cross-functional stakeholders to strengthen security, trust, safety, and responsible use outcomes.
- Developing multimodal test content and novel prompt manipulation methods to identify failure modes across text and other model inputs.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Enables trust and safety of online communications and digital products, protecting users, consumers, and patients from harm. Enables clients to provide consumer confidence in knowing with whom they are dealing and ensuring the integrity of access to data.
Qualifications
Required:
- Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Linguistics, Psychology, or a related field, or equivalent professional experience
- 10+ years of experience in threat modeling and simulation, prompt generation and analysis, novel testing, and reporting and improvement
- Demonstrated hands-on experience, portfolio work, publications, or research in prompt injection, jailbreak testing, model evaluation, adversarial machine learning, multimodal artificial intelligence safety, or generative artificial intelligence vulnerability assessment
- Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Doctor of Philosophy (PhD) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Linguistics, Psychology, or a related field, or equivalent professional experience
- Specialized training or certifications in generative artificial intelligence red teaming, adversarial machine learning, artificial intelligence security, cybersecurity, responsible artificial intelligence, or artificial intelligence governance
- Experience designing and operationalizing trust and safety testing programs for large-scale consumer platforms, including escalation workflows, issue triage, and remediation tracking
- Experience working with product, legal, policy, and engineering stakeholders to translate risk findings into practical platform controls and governance improvements
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CyberDTP27