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REQUIREMENT_ID_1718 β€’ 3-DAY_ACTIVE_POLICY

Junior HR Associate

Company
Company Fresh Prints
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary $400 - $550 per month (approx. β‚Ή30,000 - β‚Ή40,000)
Location
Location Remote
Posted Date
Posted Date Today
candidate sourcing resume screening interview coordination communication organization attention to detail proactive mindset remote work proficiency ATS usage LinkedIn Recruiter stakeholder management time management
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Aptitude and Logical Reasoning Practice Open Resource β†—
Helps sharpen analytical thinking and problem‑solving skills, useful for assessing candidate fit and handling recruitment metrics.
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Interview Preparation and Case Studies Open Resource β†—
Provides insights into common interview questions and case study approaches, aiding preparation for candidate interviews.
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Career Development Resources Open Resource β†—
Offers guidance on building a career in HR and recruitment, including skill development and industry trends.
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Coding Challenges and Problem Solving Open Resource β†—
Enhances logical reasoning and structured thinking, valuable for evaluating analytical candidates and improving recruitment processes.

Bachelor’s degree in Human Resources, Psychology, Business Administration, or related field; minimum 60% or 6.5 CGPA; no backlogs; fresh graduates encouraged; 1.5+ years of experience in Talent Acquisition or Recruitment is preferred but not mandatory.

1
Round 1: Phone/Video screening
2
Round 2: HR interview
3
Round 3: Hiring Manager interview
Fresh Prints is a New York‑based custom apparel startup that empowers student entrepreneurs by providing working capital, training, and ongoing support to launch and scale their own apparel businesses. The company operates on a lean, agile model, with a strong focus on data‑driven decisions and rapid experimentation. Its mission is to democratize entrepreneurship and create a community of student‑led brands that can thrive in a competitive marketplace. The Junior HR Associate role is a full‑time, remote position that sits at the heart of the company’s talent acquisition engine. As a member of the Recruitment team, you will be responsible for building talent pipelines, sourcing candidates from diverse channels, screening resumes, coordinating interviews, and ensuring a seamless candidate experience from intake to offer. The role is ideal for individuals who are detail‑oriented, proactive, and eager to learn the intricacies of recruitment in a fast‑paced startup environment. Key Responsibilities: 1. Lead prospecting and headhunting efforts to identify high‑potential candidates. 2. Source candidates from LinkedIn, niche job boards, university career portals, and social media. 3. Screen resumes and applications against a stringent quality bar. 4. Own role coordination beyond scheduling, monitoring progress and blockers. 5. Conduct initial screening interviews and coordinate subsequent assessment rounds. 6. Partner with hiring managers to align on role expectations, feedback, and timelines. 7. Provide regular status updates to management and stakeholders. 8. Develop and refine search strategies to attract top talent. 9. Own recruitment‑related projects and additional responsibilities as needed. 10. Maintain accurate records in ATS and HRIS systems. Tech Stack & Tools: ATS (Greenhouse), LinkedIn Recruiter, Google Workspace, Zoom, Microsoft Teams. Growth Path: Starting as a Junior HR Associate, you can progress to Senior Recruiter, Talent Acquisition Lead, or HR Business Partner roles within 2–3 years, depending on performance and business needs. Why Join Fresh Prints? The startup culture offers autonomy, exposure to cross‑functional teams, and the chance to shape the hiring strategy from the ground up. Remote work flexibility, a supportive learning environment, and a focus on employee growth make this an attractive opportunity for fresh graduates and early‑career professionals.

Fresh Prints β€” AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Fresh Prints Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Fresh Prints and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (candidate sourcing, resume screening, interview coordination, communication, organization, attention to detail, proactive mindset, remote work proficiency, ATS usage, LinkedIn Recruiter, stakeholder management, time management) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Fresh Prints Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Fresh Prints as a Junior HR Associate?
Preparation Tip: Highlight Fresh Prints's market reputation, recent tech innovations, and how your skills in candidate sourcing directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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