Labeling Analyst Entry Level

Company Intelligence

Indeed, the world's #1 job site, was founded in 2004 and is headquartered in Austin, TX, with over 10,000-11,500 employees and annual revenue of $1B-$5B (up to $4.8B reported) in the Internet & Web Services industry. It connects millions of job seekers daily via free job searches, resume posting, and company research, earning awards like World’s Most Innovative Companies 2025 (Fast Company) and America’s Greatest Workplaces for Diversity 2025 (Newsweek). Recent employee growth data shows steady expansion, with a focus on sales, tech, and client services roles rated 3.9-4.3/5 stars; culture emphasizes fast-paced challenges, skill growth, and helping businesses hire. Mission centers on putting job seekers first; work environment is rewarding for motivated, coachable talent, with 71% CEO approval for Hisayuki "Deko" Idekoba. Primary office in Austin supports hybrid/remote setups common in tech (inferred from industry norms and job postings); global reach but U.S.-centric.

Program Deep Dive

The Labeling Analyst (Entry-Level) is a 1-year contract role posted via Indeed for "entry-level 2026 jobs," targeting students/recent grads (18-25) in data-related tasks like annotating datasets for AI/ML models, quality-checking labels, and supporting job matching algorithms—core to Indeed's platform. Structure: Full-time contract starting ~2026, with daily responsibilities including data labeling (e.g., categorizing resumes/jobs), tool usage (e.g., labeling software), error auditing, and collaboration with data teams; learning via hands-on AI data prep. Skills sought: Basic data entry accuracy, attention to detail, familiarity with spreadsheets/tools (Excel, labeling platforms); no advanced experience needed for entry-level. Training/mentorship: Onboarding in Indeed's tools/processes, paired with seniors in fast-paced environment; progression to full-time data/analyst roles post-contract if performing well (common in tech contracts).

Application Success Guide

Apply via Indeed's platform (search "entry-level 2026 Labeling Analyst"); no specific deadline listed—apply ASAP as postings compete in high-volume searches. Requirements: Resume highlighting any data entry/internships, cover letter (avoid mistakes like generic content or typos), basic skills demo. Process:

1. Create Indeed profile/resume.
2. Apply one-click or upload docs.
3. Complete assessments (e.g., data accuracy tests).
4. Video/phone interview, then virtual onsite. Common questions: "Describe handling repetitive data tasks accurately," "How do you ensure quality in labeling?" "Walk through Excel error-checking," "Why data labeling for job tech?". No assessment centers noted; expect case studies like mock labeling tasks. Standout: Quantify accuracy (e.g., "95% error-free data entry in school project"), show AI/job market interest.

Insider Tips

Indeed values soft skills like coachability, motivation, and detail-orientation over deep tech (prioritize accuracy/resilience in fast-paced sales-like data flow). Demonstrate industry knowledge: Job search algorithms, AI in hiring (e.g., resume matching). Interview tips: Be energetic, reference Indeed's #1 status/awards; use Boolean search examples to show platform savvy. Questions to ask: "How does labeling impact job recommendations?" "What growth paths for high-performers?" "Team's remote collaboration tools?" Avoid red flags: Vague resumes, ignoring instructions, complaining about repetition—show enthusiasm for scale.

Practical Information

Salary/stipend: Entry-level data labeling contracts range $45K-$60K USD annualized (pro-rated; research local via Indeed for 2026 postings), based on tech contract norms. Benefits: Contract-limited (health via marketplace, remote perks); full-time converts often gain full package. Duration: 1 year, start dates tied to 2026 postings (apply early Q1 2026). Networking: Leverage Indeed's 635M profiles/alumni via company page (3.2x apply boost); join employee reviews for connections.