At Polaris our staff members have the opportunity to make a daily impact towards ending human trafficking. Please take note that any individual seeking employment at Polaris must successfully complete a criminal background check and be in agreement with Polaris's values. If you have any questions, please email

Data Quality Associate (Part-Time 12 to 29 hours per week)

Working with the Data Analysis Program (DAP), the Data Quality Associate will review current and past hotline case notes for particular markers, classify the information based on provided guidelines and enter the information accurately into a Salesforce database. This primary task will occupy 90-100% of the Data Quality Associate’s time.  The ideal candidate will have excellent attention to detail, proven aptitude at using databases, ability to work independently, and be able to appropriately handle highly sensitive, confidential information. Effective and efficient completion of this work contributes to a variety of data products released by Polaris including the Typology of Modern Slavery, the Counter Trafficking Data Collaborative, each annual statistics release, and more. This work also contributes to our ability to elevate the stories of survivors in a way that can truly ignite change to help Polaris and the rest of the anti-trafficking movement press forward toward eradication. 

Hotline Supervisor

As a member of Polaris’s National Hotline team, the Hotline Supervisor will be responsible for the on-site shift management of the National Hotline and the direct supervision of full and part-time Hotline Advocates.  The successful candidate will be an experienced and supportive manager with a talent for team building and a focus on staff wellness and professional development.  He/she must excel in a fast-paced and evolving environment that values innovation, efficiency, collaboration, and exceptionally high quality service.  This person is a strong team player and able to confidently work individually and make independent decisions quickly on sensitive and complex topics.  Most importantly, this person will be passionate about fighting human trafficking and will have the demonstrated ability of working with and supporting survivors of trafficking and/or other forms of trauma. 

Strategic Initiative Fellow, Mexico Initiative

As part of its mission to eradicate human trafficking, Polaris operates several strategic initiatives targeting specific human trafficking networks. In Mexico, Polaris is building a robust infrastructure of protection and prevention to address all forms of trafficking. Polaris is supporting local efforts to develop an efficient national referral mechanism around the National Helpline Against Human Trafficking, while deepening the local capacity to diagnose the scope and scale of HT in Mexico, especially of labor trafficking.

Government Relations and Public Policy Fellow

The Government Relations and Public Policy Fellow will recommend an evaluative framework to measure our team’s overall impact. This work will include recommending specific measures against which we can assess our work to elevate the Polaris brand across the U.S. government and ensuring the U.S. government take steps to protect vulnerable classes against trafficking and combating human trafficking overall.

Data Analysis Fellow

The Data Analysis Fellow will use data analysis to better understand human trafficking networks and to influence strategic initiatives aimed at eradicating trafficking. The fellow will work on a number of special projects related to researching, analyzing, and synthesizing quantitative and qualitative data.

Data and Research Fellow

The Data and Research Fellow will conduct targeted research to support the Data Analysis Program to better understand human trafficking typologies and to inform future research priorities and outreach methods. The research will also influence strategic initiatives aimed at disrupting and preventing trafficking. The fellow will work on a number of special projects related to researching, analyzing, and synthesizing quantitative and qualitative data.