LinkedIn Research & Salesforce Data Entry Specialist

About the Project Last Mile Education Fund is a nonprofit supporting financially vulnerable college students pursuing STEM degrees. We maintain detailed records of our students' educational and career outcomes in Salesforce, and we're looking for sharp, detail-oriented researchers to help us update and verify thousands of student records using publicly available LinkedIn data. This is not a simple copy-paste data entry. You'll need to investigate ambiguous cases, cross-reference conflicting information, and use good judgment to determine the most accurate record. For example, identifying the correct person among similarly named LinkedIn profiles, determining whether a listed degree was actually completed, or inferring missing dates from contextual clues. Strong candidates will approach this with the mindset of a researcher or analyst, not just a data entry clerk. What You'll Do - Search LinkedIn for current and former program participants using names, schools, and other identifying details provided, where profiles aren’t currently linked in a student record. - Extract and verify education records (school, degree, major, dates) and employment records (employer, title, dates, location) - Accurately match LinkedIn profiles to the correct individual when names are common or ambiguous, using available context clues - Enter and update verified data directly into Salesforce following our existing field structure and data entry standards - Flag unclear or unresolvable records for review rather than guessing - Maintain a high pace of accurate output. This role rewards both speed and precision What We're Looking For - Salesforce experience required. You should be comfortable navigating Salesforce, updating records, and working within an existing CRM structure - A track record of detail-intensive past work: data auditing, research, QA, fact-checking, or similar work requiring careful judgment under volume - Strong online research instincts, comfortable using LinkedIn and other public sources to verify identity and resolve ambiguous information - Excellent written English and the ability to follow detailed data entry guidelines precisely - Demonstrated ability to balance speed and accuracy - Comfort working independently with minimal oversight after initial onboarding - Commitment to at least 20 hours/week. How We'll Work Together We'll start with a one-week paid trial period at the rate above. At the end of the first week we'll evaluate fit on both sides (accuracy, pace, judgment, and communication) before confirming ongoing engagement. We're looking to bring on 1–3 contractors through this process, with the expectation of continued work after week 1 for those who perform well. Confidentiality Requirements This role involves access to student personally identifiable information, including names, dates of birth, and contact information. All contractors must sign a confidentiality agreement prior to starting work and must handle all student data strictly within approved Salesforce workflows. Sharing, storing, or using student data outside of those workflows is strictly prohibited. To Apply Please share examples of past work that required high attention to detail under volume: data auditing, research, fact-checking, QA, or similar, and briefly describe your Salesforce experience.