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Overview

Find answers to the most common questions about using JobLeap AI for your job search and career research.

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General Questions

Yes, absolutely. Core features including job search, company research, and AI answers are completely free with no hidden costs.What’s included for free:
  • Unlimited job searches
  • AI-powered conversational answers
  • Company research and profiles
  • Salary intelligence and trends
  • Skills analysis and recommendations
  • Interview preparation resources
  • Career advice and market insights
No paywalls, no credits, no subscriptions. We believe everyone deserves access to quality career tools.
No account is required for searching and viewing jobs. You can use JobLeap completely anonymously.Without an account you can:
  • Search for jobs freely
  • Get AI-powered answers
  • Research companies
  • View salary data
  • Access all core features
Optional account benefits:
  • Save favorite searches
  • Set up job alerts
  • Track application progress
  • Store preferences across sessions
  • Save interesting opportunities
Your choice—use freely without registration or create an account for convenience features.
Real-time aggregation. We aggregate jobs from multiple sources and update continuously throughout the day.Freshness guarantees:
  • New postings appear within hours of publication
  • Updates flow in real-time from job boards
  • Company career pages checked regularly
  • Stale listings removed automatically
How to find the freshest jobs:
  • Look for posting dates on job cards
  • Filter by “posted in last 7 days”
  • Ask: “Show me jobs posted this week”
  • Check back regularly for new opportunities
Pro tip: Search Monday through Wednesday mornings for the newest postings, as many companies post jobs early in the week.
No, and here’s why it’s better this way.We provide direct links to original job postings where you can apply through official channels. This approach:
  • Respects the source and ensures proper application tracking
  • Lets you apply directly on company career pages (often preferred)
  • Allows you to see the full, unmodified job description
  • Ensures your application goes directly to the hiring team
How it works:
  1. Find a job you’re interested in on JobLeap
  2. Click the “Apply” or source link on the job card
  3. You’re taken to the original posting (company site or job board)
  4. Complete the application there using their system
Why this matters: Many companies prioritize applications from their own career pages over third-party aggregators.
Transparency is core to our mission. Our business model:What we do:
  • Provide free job search and career tools
  • Maintain unbiased, organic search results
  • Never sell user data
  • No sponsored job listings
Potential revenue sources (always clearly labeled):
  • Premium features for power users (always optional)
  • Employer partnerships (never affects search results)
  • API access for developers
  • Enterprise tools for HR teams
What we never do:
  • Sell your personal information
  • Accept money for ranking jobs higher
  • Show sponsored content disguised as organic results
  • Gate basic features behind paywalls
No. We take privacy seriously.Our privacy practices:
  • Searches are processed securely
  • No permanent storage of queries without an account
  • We never sell user information
  • Optional account data is encrypted
  • Right to deletion upon request
Without an account:
  • Your searches are anonymous
  • No personal data collected
  • Session-based only (clears when you close browser)
See our Privacy & Trust page for complete details.
Several possible reasons:1. Limited local market: Some specialized roles have few openings in certain areas. Try:
  • Expanding search radius to nearby cities
  • Including “remote” options
  • Searching for the metro area instead of specific city
  • Considering hybrid roles
2. Role availability: Ask JobLeap: “What’s the job market like for [role] in [location]?” to understand market dynamics.3. Alternative titles: The same role might use different job titles in your area. Try:
  • “What other titles exist for [role]?”
  • Searching industry-specific variations
  • Including related positions
Example:
  • Initial: “Machine learning engineer in Boulder” (3 results)
  • Expanded: “ML engineer or data scientist, remote or Colorado” (45 results)
Yes! Include multiple cities in your query or ask for location alternatives.Effective multi-location searches:
  • “Software engineer in NYC, Boston, or remote”
  • “Data analyst positions in Texas or fully remote”
  • “Product manager in the Pacific Northwest or hybrid”
  • “DevOps roles in SF, Seattle, or Austin”
Using follow-ups:
  1. Start: “Frontend developer jobs in San Francisco”
  2. Expand: “What if I include Seattle and Portland?”
  3. Refine: “Show me the remote positions from all three cities”
Pro tip: Including “remote” often yields more results than any single city and gives you geographic flexibility.
Use clear indicators of experience level:Effective search phrases:
  • “Entry-level data analyst positions”
  • “Junior software engineer jobs”
  • “New grad machine learning roles”
  • “0-2 years experience required”
  • “Associate product manager positions”
Follow-up refinements:
  • “Which of these don’t require prior experience?”
  • “Show me new grad programs at tech companies”
  • “Filter for positions that provide training”
  • “Which companies hire bootcamp graduates?”
Hidden entry-level opportunities:
  • Rotational programs
  • Associate-level positions
  • Internship-to-hire programs
  • Training programs
Ask JobLeap:
  • “What entry-level roles can I get with just Python and SQL?”
  • “Which companies are known for hiring new grads?”
  • “Show me jobs for career changers with no tech experience”
Yes, with an optional account.Without an account:
  • Bookmark specific searches in your browser
  • Take notes on successful queries
  • Return and re-run searches manually
With an account:
  • Save favorite searches for one-click access
  • Set up job alerts for new postings
  • Get email notifications for matching roles
  • Track which jobs you’ve viewed or applied to
Setting up alerts:
  1. Create a JobLeap account (optional)
  2. Run a search that yields your ideal results
  3. Click “Save Search” or “Create Alert”
  4. Choose notification frequency (daily, weekly)
  5. Receive updates when new matching jobs are posted
You can always use JobLeap completely free without alerts—they’re a convenience feature, not a requirement.
Include “remote” explicitly in your query.Effective remote searches:
  • “Remote software engineer positions”
  • “Fully remote data scientist jobs”
  • “Remote-first companies hiring product managers”
  • “Work-from-home customer success roles”
Refining remote searches:
  • “Remote jobs in US time zones”
  • “Fully remote, no hybrid”
  • “Remote positions with office optional”
  • “Remote-first companies”
Understanding remote categories:
  • Fully remote: Work from anywhere, no office required
  • Remote-first: Company culture prioritizes remote work
  • Hybrid: Some office days required
  • Remote with location: Must be in specific state/country
Follow-up questions:
  • “Which of these are truly 100% remote?”
  • “Show me remote-first companies only”
  • “Filter for positions without location restrictions”
Yes! Use negative phrasing to filter out unwanted criteria.Exclusion examples:
  • “Software engineer jobs without Java”
  • “Data positions that don’t require a PhD”
  • “Remote roles, no contract work”
  • “Entry-level positions without degree requirements”
  • “Engineering jobs, no on-call”
Follow-up exclusions: After seeing results, refine by excluding:
  • “Remove the contract positions”
  • “Which of these don’t require security clearance?”
  • “Filter out positions requiring relocation”
  • “Show me ones without the Master’s degree requirement”
Common exclusions:
  • Specific technologies or languages
  • Degree requirements
  • Contract/freelance work
  • Travel requirements
  • Clearance needs
  • On-call rotations

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AI and Technology Questions

We use advanced language models (LLMs) that understand context, intent, and natural language patterns.How it works:
  1. Natural language processing: Understands your query like a human would
  2. Context retention: Remembers your conversation history
  3. Job market knowledge: Trained on career and tech industry data
  4. Real-time search: Queries our live job database
  5. Synthesis: Combines search results with AI understanding
  6. Citations: Links all claims to verifiable sources
What makes it conversational:
  • Remembers previous questions in your session
  • Understands pronouns (“show me ones that…”, “which of these…”)
  • Interprets follow-ups in context
  • Handles natural rephrasing and clarifications
Technical approach:
  • Large language models (similar to ChatGPT)
  • Retrieval-augmented generation (RAG) for accuracy
  • Real-time data integration
  • Citation-based verification
Highly accurate, but always verify important information.Our accuracy approach:
  • Every claim includes citations to sources
  • Information comes from verified job postings
  • Salary data aggregated from multiple sources
  • Company info from official websites and reviews
How to verify:
  • Click citation numbers [1], [2], [3] to see sources
  • Review original job postings for requirements
  • Cross-reference salary data with other sites
  • Confirm application details on company pages
Report inaccuracies: If you find incorrect information:
  • Use the feedback button
  • Specify what’s wrong
  • Provide correct information if known
  • We investigate and update our sources
What’s most reliable:
  • Direct job posting information (100% from source)
  • Company career page data (official)
  • Aggregated salary ranges (multiple data points)
What requires verification:
  • Company culture claims (subjective)
  • Specific benefit details (confirm with employer)
  • Future company plans (may change)
We work to minimize bias, but transparency is key.Potential bias sources:
  • Training data may reflect existing market biases
  • Job posting language from employers
  • Historical salary data patterns
  • Industry representation in our sources
How we mitigate bias:
  • No sponsored content (no pay-for-placement)
  • Organic search results only
  • Multiple data sources for balance
  • Transparent citations so you can verify
  • Regular audits of results
What we don’t do:
  • Filter results based on demographic assumptions
  • Make recommendations based on protected characteristics
  • Accept payment to rank certain employers higher
  • Hide jobs from any legitimate employer
Our commitment:
  • Transparent about information sources
  • All companies have equal visibility
  • Focus on objective criteria (skills, experience, location)
  • Report any biased patterns you observe
You control the search:
  • Define your own criteria
  • See why jobs match your search
  • Verify all information via citations

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Company and Salary Questions

We aggregate data from multiple trusted sources.Information sources:
  • Official: Company websites, career pages, press releases
  • Reviews: Employee review platforms (Glassdoor, etc.)
  • News: Tech news sites, industry publications
  • Public data: SEC filings, funding announcements
  • Social: Company social media, engineering blogs
What we compile:
  • Company mission and culture
  • Recent projects and products
  • Employee reviews and ratings
  • Remote work policies
  • Diversity initiatives
  • Growth trajectory and funding
Data freshness:
  • News and updates: Real-time
  • Company info: Updated weekly
  • Reviews: Aggregated monthly
  • Job postings: Real-time
Verification: Every piece of information includes citations so you can:
  • Check the original source
  • Verify accuracy
  • Get more context
  • See publication dates
Salary data is aggregated from multiple sources for accuracy.Data sources:
  • Job postings with listed salaries
  • Salary survey databases (Levels.fyi, Glassdoor, etc.)
  • Government data (BLS, labor statistics)
  • Crowdsourced compensation reports
  • Company-reported ranges
Accuracy considerations:
  • Ranges, not exact: We show typical ranges, not guarantees
  • Location matters: Adjusted for geographic area
  • Experience varies: Depends on your background
  • Total comp: May include base + bonus + equity
  • Market changes: Tech salaries fluctuate
How to use salary data:
  • View as a benchmark, not a promise
  • Consider the range, not just the midpoint
  • Factor in your specific experience
  • Verify during interview process
  • Use for negotiation context
Always verify: During the interview process, confirm:
  • Base salary range
  • Bonus structure
  • Equity compensation
  • Benefits value
  • Total compensation package
Yes! Company research works independently of active job postings.What you can research:
  • Company culture and values
  • Recent projects and innovations
  • Employee reviews and ratings
  • Growth trajectory and funding
  • Remote work policies
  • Diversity and inclusion efforts
  • Tech stack and tools used
  • Interview process insights
How to research:
  • “Tell me about the culture at [Company Name]”
  • “What technologies does [Company] use?”
  • “What’s the interview process like at [Company]?”
  • “Is [Company] remote-friendly?”
  • “How is [Company] doing financially?”
Use cases:
  • Target list building: Identify dream companies to watch
  • Market research: Understand industry leaders
  • Network preparation: Research before reaching out
  • Future opportunities: Monitor companies for openings
  • Comparison: Evaluate similar employers
Pro tip: Research companies before they have your dream role posted, then set up alerts to know when they start hiring.
Ask specific culture-related questions.Effective culture searches:
  • “Which companies have the best work-life balance for engineers?”
  • “Show me tech companies with strong diversity initiatives”
  • “Find employers known for remote-first culture”
  • “Which startups offer strong mentorship programs?”
Culture criteria to specify:
  • Work-life balance
  • Remote flexibility
  • Learning and development
  • Diversity and inclusion
  • Mission-driven work
  • Collaborative environment
  • Innovation focus
Research specific companies:
  • “What’s the culture like at [Company]?”
  • “Tell me about work-life balance at [Company]”
  • “Does [Company] have diversity initiatives?”
  • “What do employees say about [Company]?”
Sources we check:
  • Employee reviews and ratings
  • Company values and mission statements
  • Glassdoor and similar platforms
  • Engineering blogs and culture pages
  • News articles and features
See our Company Research page for detailed guidance.
Yes! We track hiring patterns and active recruiting.How to find active hirers:
  • “Which companies are hiring the most data scientists?”
  • “Show me startups actively recruiting engineers”
  • “What companies just opened AI/ML positions?”
  • “Who’s hiring in the fintech space right now?”
Indicators of active hiring:
  • Multiple open positions
  • Recent posting dates
  • Growing team sizes
  • Funding announcements
  • Expansion news
Hiring trend questions:
  • “Which tech companies are growing their ML teams?”
  • “Are companies increasing or decreasing hiring?”
  • “What industries are hiring the most right now?”
Advantages of targeting active hirers:
  • Faster interview processes
  • Less competition per role
  • More negotiation leverage
  • Multiple position options
  • Growing teams and budgets
Check out Hot Jobs to discover trending opportunities and companies actively hiring.

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Still Have Questions?

Troubleshooting

Solutions for common search and technical issues

Privacy & Trust

How we handle your data and protect your privacy

Glossary

Definitions of job search and technical terms

Getting Started

Learn the basics of using JobLeap AI
Can’t find your answer? Use the feedback button to ask us directly, or type your question in the search bar—JobLeap’s AI might be able to help!
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