Artificial neural networks with integrated sensing and computing capabilities, leveraging reconfigurable optoelectronics, can effectively emulate biological neural networks, thereby enabling rapid and efficient information processing. However, realizing reconfigurable photoresponsivity is often blocked by the requirement for high programming voltages and the limits of the detection spectrum range. This greatly restricts the progress of energy‐efficient and precise neuromorphic vision sensing. Herein, a reconfigurable photodetector with low programming voltage and broadband response is presented via in situ intercalation of Cu+ ions into the van der Waals (vdW) gaps of thermoelectric 2D material SnS2. Interestingly, the vdW gaps provide an ionic transport channel with lower energy barriers compared to oxide‐based memristors, resulting in a low programming voltage (0.5 V). Furthermore, reversible conversion of photo‐detection is achieved from photovoltaic to photo‐thermoelectric (PTE) mode via voltage‐controlled ion distribution, which modulates the phonon scattering rate in the neighboring SnS2 layer. As a result, the response spectrum switches from visible (532 nm) to long‐wave infrared (10 µm) with an on/off ratio as high as 104. Thus, dual‐mode conversion and broadband detection functionality in reconfigurable imaging are realized, suggesting a potential pathway for the development of highly energy‐efficient reconfigurable optoelectronics with a spectrum far beyond human vision.