How to Apply to Agency

Key Takeaways

Search Agency's 774+ listings carefully to find the role that most precisely matches your specific expertise and language skills — applying to the right niche role dramatically increases your chances versus applying broadly
Build your resume around your specialist credentials first: degrees, certifications, publications, and years of domain-specific practice should be immediately visible, not buried under generic work history
Use the exact terminology from the job listing in your resume and screening question responses — Greenhouse filters by keywords, and Agency's recruiters search for precise specialist terms
Prepare for a practical assessment by practicing the evaluation of AI-generated content in your field — read ChatGPT or similar LLM outputs in your specialty and note where they succeed, fail, or hallucinate
Treat screening questions as substantive demonstrations of expertise, not as administrative hurdles — your responses may be the primary factor in whether you advance to the assessment stage
Format your resume as a clean, single-column .pdf or .docx to ensure Greenhouse parses it correctly — avoid graphics, tables, and non-standard layouts that could scramble your information
Signal your freelance readiness by mentioning previous remote work, independent contracting experience, or your ability to meet deadlines and maintain quality without direct oversight

About Agency

Agency operates at the intersection of human expertise and artificial intelligence, functioning as a specialized talent platform that connects domain experts with AI training projects. The company recruits freelance specialists across an extraordinarily wide range of disciplines — from actuarial science and litigation to Urdu linguistics and art history — to help train, evaluate, and refine large language models and other AI systems. With over 770 active job listings spanning dozens of knowledge domains and languages, Agency is one of the most prolific hirers in the rapidly expanding AI data and model training ecosystem. The company's model centers on assembling a global, distributed workforce of subject matter experts who contribute on a freelance basis. This means flexibility is baked into the culture: contributors typically work remotely, set their own schedules within project parameters, and engage with cutting-edge AI technology from the perspective of their unique expertise. Whether you're a mathematician verifying model outputs, a bilingual specialist assessing translation quality, or a legal professional evaluating AI-generated case analysis, Agency positions you at the frontier of how AI learns. People are drawn to Agency for several reasons: the ability to monetize niche academic or professional expertise, exposure to the AI industry without leaving one's primary career, and the intellectual stimulation of teaching machines to reason within specialized domains. The sheer breadth of roles — from pathogen assay specialists to LaTeX experts fluent in Hindi — signals that Agency values deep, authentic knowledge over generalist skills. For professionals and academics looking to contribute meaningfully to AI development while maintaining freelance flexibility, Agency represents a compelling opportunity.

Application Process

1
Identify Your Best-Fit Specialist Role
With 774+ active listings, Agency posts roles organized by domain expertise and language proficiency. Browse their Greenhouse-hosted careers page carefully, filtering by your specific area of knowledge — whether that's STEM, humanities, law, linguistics, or a niche technical field. Many roles appear similar but differ by language requirement or subdomain, so read each listing's full description to find the closest match to your qualifications.
2
Submit Your Application Through Greenhouse
Agency uses Greenhouse as its applicant tracking system, so all applications flow through structured online forms. You'll typically provide your resume, contact information, and responses to role-specific screening questions. These questions often probe the depth of your domain expertise, language fluency, and availability — treat them as your first opportunity to demonstrate specialist knowledge, not as throwaway fields.
3
Complete Domain-Specific Screening Questions
Agency commonly includes custom application questions within Greenhouse designed to verify your claimed expertise. For language roles, expect questions about fluency level, regional dialect familiarity, and professional experience using the language. For technical and academic roles, questions may address your educational background, years of practice, and specific subdisciplines within the broader field.
4
Skills Assessment or Sample Task
Many applicants report that Agency's process includes a practical assessment component — a sample task that mirrors the actual AI training work you'd perform. This could involve evaluating AI-generated content for accuracy, writing expert-level responses in your domain, ranking model outputs, or identifying factual errors. This step is critical: it demonstrates whether you can apply your expertise in the specific format their AI training workflows require.
5
Review and Onboarding Communication
After assessment, Agency's recruitment team reviews your application and task performance. Given the high volume of roles and applicants, response timelines can vary. Successful candidates typically receive onboarding instructions via email, including platform access details, project guidelines, and quality standards documentation. Because these are freelance positions, onboarding tends to be streamlined compared to traditional full-time hiring.
6
Platform Training and Guideline Review
Before beginning live AI training tasks, new contractors commonly go through platform orientation. This includes learning the annotation or evaluation interface, understanding rubrics for rating AI outputs, and reviewing project-specific quality benchmarks. Pay close attention to these guidelines — consistency with Agency's quality standards directly impacts your continued engagement and project assignments.
7
Begin Project Work and Quality Calibration
Initial work often involves a calibration period where your outputs are reviewed more closely for alignment with project standards. Strong performance during this phase typically leads to increased task volume and potential access to additional projects. Agency values reliability and quality, so early consistency establishes your reputation within their contributor network.

Resume Tips for Agency

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Lead with Your Domain Credentials, Not Generic Work History

Agency hires for deep expertise, not broad professional experience. Place your relevant degrees, certifications, publications, and specialized training at the top of your resume. If you're applying for an Actuarial Science Specialist role, your FSA/FCAS designation or actuarial exam progress matters far more than a generic list of previous employers. Structure your resume so a recruiter can confirm your specialist qualifications within five seconds.

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Mirror the Exact Specialist Language from the Job Listing

Greenhouse parses resumes for keyword alignment with the job description. Agency's listings use precise terminology — 'pathogen assays,' 'homography,' 'LaTeX,' 'litigation' — so your resume must contain these exact terms where they authentically apply to your background. Don't paraphrase 'litigation' as 'legal disputes' or 'LaTeX' as 'document formatting.' Use the same vocabulary Agency uses to describe the expertise they need.

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Highlight Language Proficiency with Specificity

Many Agency roles require fluency in specific languages — Urdu, Vietnamese, Hindi, Chinese, among others. Don't simply list a language under 'Skills.' Instead, specify your proficiency level (native, bilingual, professional working), the contexts in which you use the language (academic writing, technical translation, professional communication), and any relevant certifications or standardized test scores. This specificity helps recruiters and Greenhouse filters match you to the right language-specific projects.

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Include Academic and Research Experience in Detail

Agency's AI trainer roles reward the kind of deep knowledge typically developed through academic research, graduate study, or specialized professional practice. List thesis topics, research areas, published papers, or conference presentations that demonstrate mastery in your field. For a role like Art History Specialist, mentioning your focus on Renaissance iconography or your published analysis of Bauhaus design principles signals genuine depth, not surface familiarity.

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Demonstrate Comfort with AI Tools and Annotation Platforms

If you have experience with AI training platforms, data annotation tools, RLHF (Reinforcement Learning from Human Feedback), prompt engineering, or model evaluation, feature this prominently. Even adjacent experience — like beta testing software, grading standardized exams, or quality assurance work — shows you understand structured evaluation frameworks. Agency needs contributors who can bridge domain expertise with the technical workflow of AI training.

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Keep Formatting Clean for Greenhouse Parsing

Greenhouse handles standard resume formats well, but complex layouts can cause parsing errors. Use a single-column format, standard section headers (Education, Experience, Skills), and avoid tables, text boxes, headers/footers, or embedded images. Save your file as a .pdf or .docx — both parse reliably in Greenhouse. Ensure your name, email, and phone number appear as plain text at the top of the document, not inside a graphic element.

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Quantify Your Expertise Where Possible

Rather than stating 'experienced in STEM education,' specify '8 years teaching university-level organic chemistry with published research in catalytic mechanisms.' Numbers ground your expertise: years of practice, number of publications, students mentored, cases litigated, projects completed. Agency's recruiters are scanning hundreds of applications from claimed specialists — concrete metrics help you stand out as genuinely qualified rather than aspirationally so.

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Mention Freelance Reliability Indicators

Since these are freelance positions, Agency cares about your ability to deliver consistent, quality work independently. If you've successfully freelanced before, mention client retention rates, project completion records, or sustained engagement durations. Even noting your reliable internet setup, dedicated workspace, or experience managing remote deadlines signals that you understand the freelance contractor dynamic and won't disappear mid-project.

ATS System: Greenhouse

Greenhouse is a structured hiring platform widely used by technology and AI companies. It processes applications through configurable pipelines, scoring candidates based on resume keyword alignment, screening question responses, and recruiter evaluations. Agency likely leverages Greenhouse's scorecard and assessment features to manage their exceptionally high volume of specialist applications across hundreds of concurrent roles.

Submit your resume as a .pdf or .docx file — Greenhouse reliably parses both formats, but avoid .pages, .odt, or image-based files
Use exact keywords from the job description in your resume — Greenhouse allows recruiters to search and filter by specific terms like 'Urdu,' 'actuarial,' 'LaTeX,' or 'pathogen assays'
Complete every screening question thoroughly — Greenhouse treats incomplete applications as lower priority, and Agency's custom questions are designed to verify specialist qualifications
Avoid tables, columns, graphics, and text boxes in your resume — Greenhouse's parser reads content linearly and may scramble multi-column layouts
Use standard section headers (Education, Experience, Skills, Languages) so Greenhouse correctly categorizes your information into its structured candidate profile
Apply to the most precisely matched role rather than submitting to multiple similar listings — Greenhouse tracks duplicate applications, and recruiters may view mass-applying as a lack of focus
Include a LinkedIn profile URL in your application if prompted — Greenhouse integrates with LinkedIn, and Agency recruiters may cross-reference your profile for additional credential verification

Complete Greenhouse Resume Guide →

Interview Culture

Agency's hiring process for freelance AI trainer roles differs significantly from traditional corporate interviews.

Because the company hires at massive scale across hundreds of specialist positions, the process is typically more assessment-driven than conversation-driven. Rather than multiple rounds of behavioral interviews, applicants commonly encounter a structured evaluation pipeline designed to verify domain expertise quickly and efficiently. The initial screening often happens through Greenhouse's built-in questionnaires, where you'll answer targeted questions about your specific area of knowledge. For language-focused roles, you may be asked to demonstrate fluency through writing samples or translation exercises. For technical and academic roles, expect questions that probe the depth and currency of your expertise — not whether you've heard of a topic, but whether you can evaluate AI-generated content about it with authority. The skills assessment or sample task is typically the most critical stage. This is where Agency determines whether you can apply your knowledge within their AI training framework. You might be asked to rate the accuracy of AI-generated text in your specialty, write expert-level responses to domain-specific prompts, or identify subtle errors that a non-specialist would miss. Speed and accuracy both matter, as does your ability to follow rubric-based evaluation criteria consistently. Because these are freelance engagements, you're less likely to encounter panel interviews or culture-fit conversations. Instead, the process emphasizes demonstrated competence. That said, communication responsiveness matters — Agency values contractors who reply promptly, ask clarifying questions about guidelines, and show they can operate independently within structured workflows. Culturally, Agency operates as a distributed, project-based organization. Expect asynchronous communication, documentation-heavy onboarding, and a meritocratic environment where your output quality determines your ongoing opportunities. Contributors who consistently deliver high-quality, on-rubric work typically receive more task volume, access to new projects, and longer-term engagement. Approach the process as a demonstration of both your expertise and your reliability as a self-directed professional.

What Agency Looks For

Verifiable deep expertise in a specific academic discipline, professional field, or language — Agency hires specialists, not generalists, and expects you to catch errors that only a true expert would notice
Native or near-native fluency in target languages, with the ability to evaluate nuanced AI-generated text for cultural accuracy, idiomatic correctness, and contextual appropriateness
Ability to follow structured rubrics and evaluation guidelines consistently — AI training requires standardized judgments, not subjective opinions, so adherence to frameworks is essential
Strong written communication skills, particularly the ability to articulate clear, well-reasoned explanations of why an AI output is correct, incorrect, or could be improved
Self-directed reliability and time management suited to freelance work — Agency needs contributors who deliver consistent output without direct supervision
Familiarity or willingness to learn AI training concepts such as RLHF, prompt evaluation, output ranking, and factual verification within your domain
Attention to detail at the granular level — the difference between a good and great AI trainer often comes down to catching subtle factual errors, logical inconsistencies, or stylistic issues
Academic credentials or professional certifications that substantiate claimed expertise — degrees, licenses, publications, and professional memberships carry significant weight

Frequently Asked Questions

How long does Agency's application process typically take from submission to onboarding?

Timelines vary significantly depending on the role's urgency and applicant volume. Some candidates report moving from application to first tasks within one to two weeks, while others experience longer waits, particularly for highly specialized or less immediately active projects. Because Agency manages hundreds of concurrent openings, processing speed depends partly on project demand for your specific expertise. Check your email regularly after applying, including spam and promotions folders, as onboarding communications from Greenhouse can sometimes be filtered.

Do I need to write a cover letter when applying to Agency?

Agency's Greenhouse applications typically emphasize screening questions and resume content over traditional cover letters. If a cover letter field is available, use it strategically: briefly state your specific qualifications, relevant credentials, and why your expertise makes you an ideal evaluator of AI content in that domain. Keep it concise — three to four focused sentences highlighting your specialist background will be more effective than a full-page narrative. If the application form doesn't include a cover letter field, don't worry about attaching one separately.

Can I apply to multiple roles at Agency simultaneously?

While Greenhouse allows multiple applications, it's generally more effective to apply to the one or two roles that most closely align with your expertise. Agency's recruiters can see all your applications in the system, and applying to a dozen different specialist positions may suggest you lack deep expertise in any single area. If you genuinely have strong qualifications in multiple domains — for instance, you're a bilingual STEM professional — apply to the roles where your credentials are strongest and note your additional qualifications in your resume or screening responses.

What kind of assessment or test should I expect during the application process?

Agency commonly uses practical assessments that simulate actual AI training work. Depending on your role, you might evaluate AI-generated text for factual accuracy, write expert responses to domain-specific questions, rank multiple AI outputs from best to worst, or identify errors in AI-produced content. These tasks test both your subject matter expertise and your ability to apply it within a structured rubric. Approach them carefully, read all instructions thoroughly, and prioritize accuracy over speed — quality of judgment is what Agency is ultimately hiring for.

Are Agency's freelance AI trainer positions fully remote?

Based on the nature of the roles and common patterns in the AI training industry, Agency's freelance specialist positions are typically fully remote. Contributors work from their own locations using Agency's web-based platform. You'll need reliable internet access and a computer capable of running browser-based annotation tools. Some roles may have geographic restrictions based on project requirements or data privacy regulations, so check individual listing details for any location-specific eligibility criteria.

What level of experience is required for Agency's specialist roles?

Agency's roles span a wide experience range, but the common thread is demonstrated depth in your specific domain. A graduate student with deep knowledge in homography or pathogen assays may be just as competitive as a mid-career professional — what matters is whether you can accurately evaluate AI-generated content in your field. That said, roles mentioning specific professional domains like litigation or actuarial science typically expect candidates with verifiable professional experience or advanced academic training. Check each listing's requirements carefully, as some are more entry-level accessible than others.

How does compensation work for Agency's freelance positions?

As freelance contract roles, Agency's positions typically offer competitive compensation structured on a per-task, per-hour, or per-project basis. Payment details are generally shared during the onboarding phase or within the job listing itself. Because these are independent contractor arrangements rather than full-time employment, contributors typically manage their own taxes and do not receive traditional employment benefits. Compensation can vary by role complexity, language rarity, and domain specialization — highly specialized or in-demand expertise areas may command higher rates.

How should I optimize my resume for Agency's Greenhouse ATS?

Focus on three priorities: keyword alignment, clean formatting, and credential visibility. First, incorporate exact terms from the job listing — if the role says 'Urdu Language Specialist,' ensure 'Urdu' and your specific proficiency level appear explicitly in your resume. Second, use a simple single-column layout with standard headers, saved as .pdf or .docx. Third, place your most relevant credentials — degrees, certifications, language proficiencies, publications — in the top third of your resume where they're immediately visible both to Greenhouse's parser and to human reviewers.

What happens after I'm accepted — how are projects assigned?

After onboarding, contributors are typically given access to Agency's task platform, where projects matching their expertise become available. Task volume can fluctuate based on project timelines, client needs, and seasonal demand. Many AI training companies operate in waves — you might experience periods of high task availability followed by quieter stretches. Maintaining consistent quality and responsiveness during active periods tends to improve your standing for future project assignments. Staying engaged with communication channels and promptly reviewing updated guidelines also signals reliability.

I have a PhD but no industry experience — am I a strong candidate for Agency?

Academic credentials are highly valued for Agency's specialist roles, and a PhD can be a significant advantage. The company needs people who can evaluate AI outputs at an expert level, and doctoral-level training in a field like art history, STEM disciplines, or linguistics provides exactly that depth. Emphasize your research specialization, publications, teaching experience, and any peer review or editorial work you've done — all of these demonstrate the kind of rigorous evaluative judgment that AI training requires. Frame your academic background as a direct qualification, not as a gap in industry experience.

Sample Open Positions

Check Your Resume Before Applying → View 817 open positions at Agency

Sources

Agency Careers Page — Greenhouse Job Board — Greenhouse / Agency
Greenhouse Help Center — How Greenhouse Parses Resumes — Greenhouse Software
The Rise of AI Training Workforces — Industry Overview — WIRED
Greenhouse ATS Best Practices for Job Seekers — Greenhouse Software