Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Legal Operations Analyst

xAI · Singapore, SG

About xAI

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

We are seeking a skilled Legal Operations Analyst to enhance xAI’s systems and operations by providing deep expertise in assessing and handling legal requests from government entities all over the world. In this role, you will process high-volume content-removal requests under local laws (hate speech, defamation, national security, data-privacy statutes) as well as productions of user information in response to legal process (subpoenas, court orders, warrants, MLAT requests, etc.).

You will leverage your expertise in legal operations, regulatory compliance, and content moderation to support both day-to-day execution and the optimization of AI-driven automation. You will collaborate with technical teams to design, train, and refine AI agents, curate high-quality training data from real cases, and build tools that scale operations while maintaining accuracy and speed. This role requires adaptability, strong analytical 

RESPONSIBILITIES:

  • You will join on an on-call rotation, working closely with other members of Safety to provide timely responses to emergency requests and proactive referrals from all over the world. 
  • You will handle global legal information and content removal requests, including document intake and processing. 
  • Execute and quality-control complex content-removal and user-data-production cases across multiple jurisdictions while applying and interpreting platform policies shaped by evolving legal requirements.
  • Serve as the go-to escalation point for ambiguous or high-risk legal requests, exercising sound judgment and ensuring compliance.
  • Continuously improve AI agents that automate triage, initial decisioning, redaction, compliance checks, and response workflows.
  • Create and maintain high-quality training datasets, evaluation rubrics, and feedback loops using real Legal Operations cases to enhance AI performance.
  • Identify automation opportunities and collaborate with technical teams to build end-to-end workflows using automation tools.
  • Measure and report on automation coverage, accuracy, risk reduction, and efficiency gains while training and upskilling the broader Legal Operations team.
  • Analyze complex legal and compliance problems in partnership with legal stakeholders to ensure platform rules and regulatory requirements are followed.
  • Interpret, analyze, and execute tasks based on evolving instructions and regulatory changes, maintaining precision and adaptability in partnership with cross-functional stakeholders. 
  • You may represent X in witness testimony or other external engagements

BASIC QUALIFICATIONS:

  • 2+ years of hands-on professional experience in legal operations, trust & safety, content moderation, compliance, or e-discovery at a major technology or social media company.
  • Demonstrated expertise in global content-removal processes and/or user-data production in response to legal requests (subpoenas, MLATs, court orders, and local law enforcement demands).
  • Proficiency in reading and writing professional English with excellent communication, interpersonal, analytical, and organizational skills.
  • Strong technical aptitude, including experience with prompt engineering, AI workflows, or automation tools in a regulated environment.
  • Excellent reading comprehension and the ability to exercise autonomous judgment with limited or ambiguous data.
  • Passion for technological advancements and using AI to amplify human expertise in legal and compliance processes.

PREFERRED SKILLS AND QUALIFICATIONS:

  • Relevant certification, license, or advanced training, specifically in areas such as: copyright, privacy laws, child safety, hate speech, incitement, harassment, or misinformation laws by region.
  • Comfort with recording audio or video sessions for data collection.
  • Familiarity with AI workflows in a technical setting.

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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